This document discusses building an intrusion detection system that combines network-based and log-based detection. It proposes using the Security Onion distribution and its included tools like Snort, Sguil, Squert and OSSEC. It describes configuring Security Onion sensors to monitor network traffic and logs, storing alerts in databases, and using the management consoles to analyze alerts. The goal is to create a comprehensive security monitoring platform through centralized log management and correlation of network and host-based events.
The spread of information networks in communities and organizations have led to a daily huge volume of information exchange between different networks which, of course, has resulted in new threats to the national organizations. It can be said that information security has become today one of the most challenging areas. In other words, defects and disadvantages of computer network security address irreparable damage for enterprises. Therefore, identification of security threats and ways of dealing with them is essential. But the question raised in this regard is that what are the strategies and policies to deal with security threats that must be taken to ensure the security of computer networks? In this context, the present study intends to do a review of the literature by using earlier researches and library approach, to provide security solutions in the face of threats to their computer networks. The results of this research can lead to more understanding of security threats and ways to deal with them and help to implement a secure information platform.
1. Cyber Ethics and Cyber Crime
2. Security in Social Media & Risk of Child Internet
3. Social media in Schools and photo privacy
4. Risk of OSNs and Security, Privacy of Facebook
5. Risk and Security of Social Networking site Facebook and Twitter
6. Risk analysis of Government and Online Transaction
Augment Method for Intrusion Detection around KDD Cup 99 DatasetIRJET Journal
This document discusses augmenting methods for intrusion detection using the KDD Cup 99 dataset. It aims to improve detection accuracy and reduce false positives. The key points are:
- It analyzes detection precision and true positive rate (recall) for different attack classes in the KDD Cup 99 dataset to help improve dataset accuracy.
- Experimental results show the contribution of each attack class to recall and precision, which can help optimize the dataset to achieve highest accuracy with lowest false positives.
- The goal is to enhance testing of detection models and improve data quality to advance offline intrusion detection capabilities.
Intrusion Detection System (IDS) is meant to be a software application which monitors the network or system activities and finds if any malicious operations occur. Tremendous growth and usage of internet raises concerns about how to protect and communicate the digital information in a safe manner. Nowadays, hackers use different types of attacks for getting the valuable information. Many intrusion detection techniques, methods and algorithms help to detect these attacks. This main objective of this paper
is to provide a complete study about the definition of intrusion detection, history, life cycle, types of intrusion detection methods, types of attacks, different tools and techniques, research needs, challenges and
applications.
This presentation delves into the many cybersecurty risks that plague the healthcare industry and how these risks can be mitigated with the help of security solutions that Seqrite offers.
IRJET- Local Security Enhancement and Intrusion Prevention in Android Dev...IRJET Journal
This document proposes a local security enhancement and intrusion prevention system for Android devices. It summarizes existing host-based intrusion detection systems and behavior-based intrusion prevention systems for Android smartphones. The proposed system uses net flow based clustering to identify anomalies and correlates with host-based features to detect malware intrusions. The goal is to provide versatile security for Android smartphones by detecting a wide range of attacks, including denial of service attacks and probing. The system aims to detect new attacks as well.
Network security is a dynamic art, with dangers appearing as fast as black hats can exploit vulnerabilities. While there are basic “golden rules” which can make life difficult for the bad guys, it remains a challenge to keep networks secure. John Chambers, Executive Chairman of Cisco, famously said “there are two types of companies: those that have been hacked, and those who don’t know they have been hacked”. The question for most organizations isn’t if they’re going to be breached, but how quickly they can isolate and mitigate the threat. In this paper, we’ll examine best practices for effective cybersecurity – from both a proactive (access hardening) and reactive (threat isolation and mitigation) perspective. We’ll address how network automation can help minimize cyberattacks by closing vulnerability gaps and how it can improve incident response times in the event of a cyberthreat. Finally, we’ll lay a vision for continuous network security, to explore how machine-to-machine automation may deliver an auto-securing and self-healing network.
Go to www.esgjrconsultinginc.com
This document provides guidance for lawyers on data security issues and how to help clients meet data security standards. It discusses how lack of security knowledge is common among both personal and enterprise computer users. Various threats like viruses, worms, Trojans, bots, and spyware/adware are described. Examples of data security risks include loss of portable devices containing personal information, insecure home networks that employees access for work, and insecure disposal of physical documents and digital media. The document advises evaluating security controls and investing in tools to detect breaches and audit compliance.
A Study on Recent Trends and Developments in Intrusion Detection SystemIOSR Journals
This document discusses recent trends and developments in intrusion detection systems. It covers several topics:
- Artificial intelligence and machine learning techniques like neural networks, genetic algorithms, and fuzzy logic can be applied to intrusion detection to improve detection capabilities.
- There are different types of intrusion detection systems, including network-based, host-based, and wireless intrusion detection. Signature-based and anomaly-based detection are also discussed.
- Popular open source intrusion detection tools like Snort are discussed as alternatives to commercial intrusion prevention systems for some organizations.
- Intrusion prevention systems not only detect attacks but can also block attacks in real-time, providing an enhanced level of protection over intrusion
The document discusses cyber security standards and threats in industrial networks. It describes the IEC 62443 standard for securing industrial networks and discusses levels of security it provides. The document also summarizes WoMaster's cyber security solutions, including secure remote access, multi-level authentication, ACLs, DHCP snooping, and DDoS prevention in line with IEC 62443 requirements to secure industrial IoT networks. WoMaster's solutions integrate software and hardware for comprehensive protection against cyber threats.
Enhanced method for intrusion detection over kdd cup 99 datasetijctet
This document discusses an enhanced method for intrusion detection using the KDD Cup 99 dataset. It aims to improve the accuracy of the dataset by analyzing the contribution of different attack classes to metrics like true positive rate and precision. The study examines these evaluation metrics for an intrusion detection system to identify which attack classes most impact recall and precision. The goal is to help improve the quality of the KDD Cup 99 dataset to achieve higher accuracy with lower false positives.
IRJET- A Review on Intrusion Detection SystemIRJET Journal
This document provides a review of intrusion detection systems (IDS). It discusses the purpose of IDS in monitoring networks to detect anomalous behavior and security exploits. The document outlines the basic components and architecture of IDS, including sensors to collect data, an analyzer to examine data for intrusions, a knowledgebase of activity logs and signatures, and a user interface. It also covers different types of attacks IDS aims to detect, such as denial-of-service, spoofing and probing attacks. Finally, the document summarizes the typical workflow of an IDS in collecting data, selecting relevant features for analysis, analyzing data for intrusions, and taking appropriate actions in response.
This paper describes the concept of implementing the network vulnerability assessment process as a web service in Eucalyptus cloud.This paper is published in one of the international conferences.I implemented the mentioned concept during my M.E. thesis.
This document discusses network intrusion detection systems (NIDS) and their ability to handle high-speed traffic. It introduces NIDS and their role in monitoring network traffic. The document presents an experiment that tests the open-source NIDS Snort under high-volume traffic. The experiment shows that Snort drops more packets as traffic speed and volume increases, demonstrating a weakness of NIDS in high-speed environments. It suggests using a parallel NIDS technique to help NIDS better handle high-speed network traffic and reduce packet dropping.
Fundamentals of information systems security ( pdf drive ) chapter 1newbie2019
This document discusses the growth of the internet and increased connectivity of devices beyond just computers. It notes that as internet usage has increased, issues of privacy, data security, and protecting sensitive information have become more important for both personal and business use. The document provides an overview of common security concepts and terms to help understand how to prevent cyberattacks and secure sensitive data. It also includes a table summarizing several high-profile data breaches between 2013-2015 at companies like Target, Anthem, and Sony Pictures that compromised personal and financial information for millions of customers.
Network infrastructures have played important part in most daily communications for business industries,
social networking, government sectors and etc. Despites the advantages that came from such
functionalities, security threats have become a daily struggle. One major security threat is hacking.
Consequently, security experts and researchers have suggested possible security solutions such as
Firewalls, Intrusion Detection Systems (IDS), Intrusion Detection and Prevention Systems (IDP) and
Honeynet. Yet, none of these solutions have proven their ability to completely address hacking. The reason
behind that, there is a few researches that examine the behavior of hackers. This paper formally and
practically examines in details the behavior of hackers and their targeted environments. Moreover, this
paper formally examines the properties of one essential pre-hacking step called scanning and highlights its
importance in developing hacking strategies. Also, it illustrates the properties of hacking that is common in
most hacking strategies to assist security experts and researchers towards minimizing the risk of hack.
Intrusion Detection System (IDS) is meant to be a software application which monitors the network or system activities and finds if any malicious operations take place. Tremendous growth and practice of internet raises concerns about how to protect and communicate the digital data in a safe manner. Nowadays, hackers use different types of attacks for getting the valuable information. Many intrusion detection techniques, methods and algorithms assist to identify these attacks. This main objective of this paper is to provide a complete study about the description of intrusion detection, history, life cycle, types of intrusion detection methods, types of attacks, different tools and techniques, research needs, tasks and applications
Mobile Ad hoc Networks (MANETs) are wireless networks consisted of mobile free nodes that can move anywhere at any time without the need to any fixed infrastructure or any centralized administration. In this category of networks existing nodes must rely on each other to play the role of routers or switches instead of using central ones. The self-organized nature of such environments made MANETs vulnerable against many security threats. As a result, providing security requirements in MANETs is one of the most interesting challenges in such a network. In this group of networks, the use of cryptographic solutions is one of the most interesting security issues. The importance of this scientific area in MANETs is more drastic by considering that mentioned schemes must be lightweight enough to be appropriate for resource constrained platforms in such environment. This paper has tried to represent the position of cryptographic issues in MANETs. Moreover, security issues in mobile Ad hoc networks beside of different classes of public key cryptosystems have been introduced.
Computer hacking and security - Social Responsibility of IT Professional by M...Mark John Lado, MIT
Computer hacking and security - Social Responsibility of IT Professional by Mark John Lado and Franklin Lasdoce
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Technology is science or knowledge put into practical use to solve problems or invent useful tools. A computer is one of the examples of technology it is a programmable electronic device that accepts raw data as input and processes it with a set of instructions (a program) to produce the result as an output.
Technology is robust, where hacking is now common, there are two different types of hacking, ethical hacking, and unethical hacking.
The Same Tools Are Used By Both Hackers And Ethical Hackers. The Only Difference Is That Hackers Use Tools To Steal Or Destroy Information Whereas Ethical Hackers Use the Same Tools To Safeguard Systems From “Hackers With Malicious Intent”. Ethical Hacking Is Legal And Hacking Is Done With Permission From The Client.
Computer Security Is The Protection Of Computer Systems And Networks From Information Disclosure, Theft Of Or Damage To Their Hardware, Software, Or Electronic Data, As Well As From The Disruption Or Misdirection Of The Services They Provide.
************
At the end of this topic, you will be able to;
1. Tell the definition of Computer Hacking
2. Recognize the Ethical hacking and Unethical hacking
3. Illustrate the penetration tester do
4. Summarize the top Skills Required for Cybersecurity Jobs
5. Define Computer Security
6. Recite the different types of Computer Security
7. Describe the importance of Computer Security
8. Summarize the objectives for computer security in any organization
9. Discover in securing your Computer from Unauthorized Access
10. Relate the 15 Best practices for Computer Security and Cyber Security
11. Recognize the Social Engineering and Cyber Attacks
This is brief feasibility report on Quick Freezing Fruits and Vegetables Production Unit. Looking at present market condition and continuously increasing food prices this project has huge potential for future. Global Frozen Fruits and Vegetables Market to Reach 22.6 Million Tons by 2015, The global frozen foods market continues to expand even in the wake of adverse economic conditions, driven by consumer desire for convenient and faster-to-prepare foods. Further, the advent of innovative products and packaging, and growing health consciousness of consumers are also contributing to increased consumption of a wide variety of frozen foods.
Handover report for Abraham Ayom, Outgoing StaffAbraham Ayom
William Adah has taken over as Acting COMU Lead from Abraham Ayom in MSH South Sudan. The 3-page handover report provides details on handing over responsibilities, ongoing operations, compliance requirements and processes. Key items include renewing organizational certificates, legal compliance obligations, financial management duties divided among William, Mary Juan and Pascal Adrawa, and transition of security coordination from Abraham to Pascal.
El documento describe el universo como la totalidad del espacio, tiempo, materia, energía e impulso que están gobernados por leyes físicas. Explica que se conoce poco sobre el tamaño del universo, el cual podría tener una longitud de billones de años luz o ser infinito. Además, menciona que las galaxias son agrupaciones masivas de estrellas que representan las estructuras más grandes en el universo y se manifiestan a través de telescopios como manchas luminosas de diferentes formas.
Dongmin introduces himself and his family which includes his parents Ahn jung hwa and Sin yoo cheol and sister Shin dong hwa. He discusses attending kindergarten and elementary school in Korea before moving to middle school in Biss and now attending high school at BISS. Dongmin enjoys visiting friends, playing board games, soccer, and learning guitar. For his 9th grade year, he has goals of joining the football team, improving his English score, typing skills, getting a 7 in PE, and making more friends.
This document discusses software engineering and provides an overview of topics including what software is, challenges in India, skills needed for software engineers, structured and procedural programming approaches like top-down programming and modularity, analysis and programming techniques such as flow charts, pseudocode, narrative descriptions, and algorithms, and includes examples.
The document discusses the Dewey Decimal System, which was invented by librarian Melvil Dewey to categorize nonfiction books into 10 main subject groups represented by 3-digit numbers. It explains that nonfiction call numbers are organized by subject number then author's last name initial, and provides examples of the 10 categories including 000s for general works, 100s for philosophy, 200s for religion, and 900s for history. The system allows books on the same subject to be shelved near each other alphabetically by call number.
The document discusses building brand equity in the wine industry. It begins by noting that branding is important for mid-sized wineries to stand out from competitors. The document then defines what a brand is - the idea or concept a product holds in a consumer's mind - and defines brand equity as the value of a brand. High brand equity provides competitive advantages like reduced costs and higher prices.
The document provides tips for building a wine brand, including differentiating the brand, knowing the target consumer, and communicating consistently across all customer touchpoints. It emphasizes the importance of public relations, offering value to consumers, and using non-traditional advertising beyond print and broadcast. The overall message is that strong branding requires understanding consumers and
Beberapa masalah yang dihadapi ketika membuat kek adalah kek terlalu lembap dan leper karena bahan penaik tidak mencukupi, kek merekah di atas lantaran loyang tidak diletakkan di tengah ketuhar, dan kek mendap di tengahnya kerana ukuran acuan tin tidak betul atau sukatan bahan tidak tepat.
Mrs. Wong's 5th grade class participated in a reenactment of key events in the American Revolution. Students were divided into teams and earned points by demonstrating knowledge of historical figures and battles through costumes, props, presentations at a podium and expert chairs. The reenactment covered major battles and events from Lexington and Concord to the surrender at Yorktown. Students portrayed important figures from the revolution and demonstrated good conduct. The reenactment was a success thanks to the preparation and leadership of Teacher Mrs. Wong.
1) The aim of the experiment was to determine which type of tea can best preserve red apples. The hypothesis was that Jasmine Green Tea would be most effective.
2) Six types of tea (Jasmine Green Tea, Rickshaw Oolong Tea, etc.) were used to preserve apple slices for one week. The mass of the apples was measured before and after.
3) Results showed the apples preserved in Jasmine Green Tea lost the least mass (-0.378g), supporting the hypothesis that it is the most effective preservative for red apples.
Study And Implemenataion Of Advance Intrusion Detection And Prevention Sysyte...Deepak Mishra
This document presents a solution for implementing an advanced intrusion detection system using the open-source Security Onion Linux distribution. It discusses setting up a log management infrastructure with Security Onion that incorporates log generation, analysis and storage, and monitoring using tools like Snort, Sguil, Squert, and Snorby. This solution provides log management, network monitoring, alerting and reporting to help with security, compliance and incident response in a cost-effective manner.
Security Information and Event Management (SIEM) is software that combines security information management (SIM) and security event management (SEM). It collects logs from network devices, applications, servers and other sources to detect threats, ensure compliance with regulations, and aid investigations. Key features of SIEM include log collection, user activity monitoring, real-time event correlation, log retention, compliance reports, file integrity monitoring, log forensics, and customizable dashboards. SIEM solutions can be deployed in various ways including self-hosted, cloud-based, or as a hybrid model managed by the organization or a managed security service provider.
Security Information and Event Management (SIEM)k33a
This document provides an overview of security information and event management (SIEM). It defines SIEM as software and services that combine security information management (SIM) and security event management (SEM). The key objectives of SIEM are to identify threats and breaches, collect audit logs for security and compliance, and conduct investigations. SIEM solutions centralize log collection, correlate events in real-time, generate reports, and provide log retention, forensics and compliance reporting capabilities. The document discusses typical SIEM features, architecture, deployment options, and reasons for SIEM implementation failures.
Session Auditor is an auditing system that helps with compliance. It transparently records RDP, SSH, and ICA sessions including screen updates, mouse clicks, and keyboard inputs. This allows sessions to be replayed like watching over a user's shoulder. It has sensors that identify protocols and record sessions, sending the data to a datacenter for storage, processing, and searching. A GUI console is used for configuration and management. Session Auditor enhances auditing by providing complete recording and playback of encrypted protocol sessions.
Security Onion is a Linux distribution for intrusion detection, network security monitoring, and log management. It contains tools like Snort, Suricata, Bro, OSSEC, Sguil, Squert, Snorby, ELSA, and NetworkMiner. It allows full packet capture, network and host intrusion detection, and log collection and management. Security Onion can be deployed in standalone, server-sensor, or hybrid configurations.
Applicability of Network Logs for Securing Computer SystemsIDES Editor
Logging the events occurring on the network has
become very essential and thus playing a major role in
monitoring the events in order to keep check over them so
that they doesn’t harm any resources of the system or the
system itself. The analysis of network logs are becoming the
beneficial security research oriented field which will be desired
in the computer era. Organizations are reluctant to expose
their logs due to risk of attackers stealing the sensitive
information from their respective logs. In this paper we are
defining architecture and the security measures that can be
applied for a particular network log.
Modern Attack Detection using Intelligent HoneypotIRJET Journal
The document proposes a semi-automatic approach to detecting modern attacks using an intelligent honeypot coupled with human decision making. The proposed system uses a honeypot VM along with firewalls, a knowledge database, and a dedicated SOC team to analyze logs to better detect attacks through both automated and manual analysis. This hybrid approach aims to improve upon other honeypot implementations by minimizing false positives through human verification of potential attacks.
The objective of this assignment is to learnabout the IDS.Write .pdfamitpalkar82
The document discusses intrusion detection systems, their components, and types. An intrusion detection system is designed to detect unauthorized access to computer systems through a network like the Internet. The main components are sensors that log events, and a central engine that analyzes the logs and generates alerts using rule-based detection. The types of intrusion detection systems include protocol-based, application-based, host-based, and hybrid systems.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Overall Security Process Review CISC 6621Agend.docxkarlhennesey
Overall Security Process Review
CISC 662
1
Agenda
Review of the following technologies and current products:
SIEM
CASB
EDR (Enterprise Detection and Response)
NGFW (Next Generation Firewalls)
Threat Intelligence
Summary of Term
SANS Technology Institute - Candidate for Master of Science Degree
What is a SIEM?
SIEM - Security Information Event Management
Logging and Event Aggregation
Network (router,switch,firewall,etc)
System (Server,workstation,etc)
Application (Web, DB )
Correlation Engine
2+ related events = higher alarm (1+1=3)
3
At first glance SIEM's appliances and software look like an event aggregator. While a SIEM has the advantage of aggregating logs what puts them apart from the event aggregator market are the correlation engines.
The correlation engines allow the ability to uncover threats/attacks across multiple related events which by themselves would not be a cause for alarm.
SIEM
4
What is a SIEM?
5
Security information and event management (SIEM) is the technology that can tie all your systems together and give you a comprehensive view of IT security.
IT security is typically a patchwork of technologies – firewalls, intrusion prevention, endpoint protection, threat intelligence and the like – that work together to protect an organization’s network and data from hackers and other threats. Tying all those disparate systems together is another challenge, however, and that’s where SIEM can help.
SIEM systems manage and make sense of security logs from all kinds of devices and carry out a range of functions, including spotting threats, preventing breaches before they occur, detecting breaches, and providing forensic information to determine how a security incident occurred as well as its possible impact.
Using SIEM
How do SIEM Products help the following Security concerns?
Countermeasures to detect attempts to infect internal system
Identification of infected systems trying to exfiltrate information
Mitigation of the impact of infected systems
Detection of outbound sensitive information ( DLP)
6
These questions are a core part of a companies overall security architecture. If a SIEM isn't providing answers or solutions to these questions what is it doing?
If you aren't using your SIEM to solve issues like these it may just be an expensive log aggregator/collection system sitting in your network collecting dust.
SIEM Advantages
Correlation of data from multiple systems and from different events detecting security and operational conditions
Anomaly detection by using a baseline of events over time to find deviations from expected or normal behavior
Comprehensive view into an environment based on event types, protocols, log sources, etc
APT (advanced persistent threat) protection through detection of protocol and application anomalies
Prioritization based on risk of threat to assets, staff can triage the most vulnerable targets
Alerting and monitoring on events of interest to escalate pri ...
Linux for Cybersecurity CYB110 - Unit 8.ppsxBrenoMeister
Intrusion Detection and Prevention Systems (IDPS) like Snort are critical for monitoring network traffic and detecting security threats. Snort uses signature-based detection to identify known attacks and can be configured to create custom rules. It provides real-time analysis and is commonly used with other tools for security information and event management. Regular rule updates and integrating Snort with additional defenses helps maintain robust network protection.
Information security audit is a monitoring/logging mechanism to ensure compliance with regulations and to detect abnormalities, security breaches, and privacy violations; however, auditing too many events causes overwhelming use of system resources and impacts performance. Consequently, a classification of events is used to prioritize events and configure the log system. Rules can be applied according to this classification to make decisions about events to be archived and types of actions invoked by events. Current classification methodologies are fixed to specific types of incident occurrences and applied in terms of system-dependent description. In this paper, we propose a conceptual model that produces an implementation-independent logging scheme to monitor events.
Security Information Event Management Security Information Event Managementkarthikvcyber
This document discusses log management and security information and event management (SIEM). It defines log management as collecting, aggregating, retaining, analyzing, searching, and reporting large volumes of computer-generated log messages. SIEM is described as combining security information management and security event management to identify threats, collect audit logs for security and compliance, and conduct investigations. The document outlines typical SIEM features and provides details on SIEM deployment options.
A COMBINATION OF THE INTRUSION DETECTION SYSTEM AND THE OPEN-SOURCE FIREWALL ...IJCNCJournal
There are many security models for computer networks using a combination of Intrusion Detection System and Firewall proposed and deployed in practice. In this paper, we propose and implement a new model of the association between Intrusion Detection System and Firewall operations, which allows Intrusion Detection System to automatically update the firewall filtering rule table whenever it detects a weirdo intrusion. This helps protect the network from attacks from the Internet.
A Combination of the Intrusion Detection System and the Open-source Firewall ...IJCNCJournal
There are many security models for computer networks using a combination of Intrusion Detection System and Firewall proposed and deployed in practice. In this paper, we propose and implement a new model of the association between Intrusion Detection System and Firewall operations, which allows Intrusion Detection System to automatically update the firewall filtering rule table whenever it detects a weirdo intrusion. This helps protect the network from attacks from the Internet.
Detect Network Threat Using SNORT Intrusion Detection SystemIRJET Journal
This document discusses using the Snort intrusion detection system to detect network threats. It begins with an abstract that introduces Snort and the shift from intrusion detection to prevention. The document then covers Snort components, configuration, implementation and testing on a network. Snort rules were created and tested to detect ICMP ping requests from an attacking machine. Network traffic was analyzed using Snort logs and Wireshark to identify the attacking packets. The conclusion is that Snort is an effective lightweight intrusion detection system that can detect network threats using its built-in and customized rules.
Security Operation Center : Le Centre des Opérations de Sécurité est une div...Khaledboufnina
Le Centre des Opérations de Sécurité est une division, dans une entreprise, qui assure la sécurité de l'organisation et surtout le volet sécurité de l'information.
Technology
• For SOC Team members, technology is their weapon, they use it to collect
different type of logs (login events, activities etc).
• Team comprises of people uses least amount of resources to get good visibility into active and emerging
threats.
• Continuous consolidation of technologies and effectively organizing team is required
Host based Defence
• Host includes physical / virtual OS that are allocated to the employee of organization
• Enterprise majorly have the following OS’s:
• Windows
• Linux
• Mac
• Tools like OSQuery (cross-platform), Sysmon (Windows) etc can be used to collect
and transmit logs for analysing performance of hosts devices
Host Firewall - Windows
• Defender host firewall present in Win Vista, 7, 8, 10, 11 & server edition.
• It helps secure the devices by in-bound & out-bound rules.
• The rules states which network traffic can go in and out from the device
• Inbound Rules : Network traffic coming from the external device. Ex : Someone tries to
connect to FTP Server on host machine.
• Outbound rules : Network traffic originating from the host device. Ex : Host machine tries to
connect to a web server.
• Connection Rules : Used to filter the network traffic going in and out the host device
•Host Firewall – iptables
• Firewall utility that comes in-built in most Linux operating systems.
• It is a command line utility, that filters network traffic going-in or going-out of
the system.
• Iptables has 3 different chains, namely:
• Input : Controls incoming connections. Ex : SSH into host machine with iptables enabled
• Output : Controls outgoing connections. Ex : Sending ICMP packets to a destination
• Forward : Helpful during routing scenarios, utilizes traffic forwarding utilities to sent data
to destined address
• Connection Specific Responses
• ACCEPT : Allow the connection
• DROP : Drop the connection without sending any errors
• REJECT : Drop the connection but send back an error response
• Block connection from a range of IP address
Anti-Virus
• In General Terms, it is a computer program used to prevent, detect and remove malicious s/w.
• They continuously scan incoming files (coming to system from everywhere) and if any anomaly is
detected, it is quarantined / removed.
• The Landscape of security has moved a lot from focusing only a single device to end-point devices
like Cell-phone, Enterprise laptop, Tablet, Servers, Computers etc.
• End Point Security protects network, using a combination of FireWall, AntiVirus, Anti-Malware etc.
• They are explicitly designed for enterprise clients to protect all their endpoints devices like servers,
computers, mobile etc
• Understanding Naming Context, it is clear that EDR is a solution that
continuously monitors, stores endpoint-devices behaviour to detect and
block suspicious / malicious act
Security Onion includes best-of-breed free and open tools including Suricata, Zeek, Wazuh, the Elastic Stack and many others. We created and maintain Security
Similar to Report: Study and Implementation of Advance Intrusion Detection and Prevention System Based on Security Onion (20)
Is Email Marketing Really Effective In 2024?Rakesh Jalan
Slide 1
Is Email Marketing Really Effective in 2024?
Yes, Email Marketing is still a great method for direct marketing.
Slide 2
In this article we will cover:
- What is Email Marketing?
- Pros and cons of Email Marketing.
- Tools available for Email Marketing.
- Ways to make Email Marketing effective.
Slide 3
What Is Email Marketing?
Using email to contact customers is called Email Marketing. It's a quiet and effective communication method. Mastering it can significantly boost business. In digital marketing, two long-term assets are your website and your email list. Social media apps may change, but your website and email list remain constant.
Slide 4
Types of Email Marketing:
1. Welcome Emails
2. Information Emails
3. Transactional Emails
4. Newsletter Emails
5. Lead Nurturing Emails
6. Sponsorship Emails
7. Sales Letter Emails
8. Re-Engagement Emails
9. Brand Story Emails
10. Review Request Emails
Slide 5
Advantages Of Email Marketing
1. Cost-Effective: Cheaper than other methods.
2. Easy: Simple to learn and use.
3. Targeted Audience: Reach your exact audience.
4. Detailed Messages: Convey clear, detailed messages.
5. Non-Disturbing: Less intrusive than social media.
6. Non-Irritating: Customers are less likely to get annoyed.
7. Long Format: Use detailed text, photos, and videos.
8. Easy to Unsubscribe: Customers can easily opt out.
9. Easy Tracking: Track delivery, open rates, and clicks.
10. Professional: Seen as more professional; customers read carefully.
Slide 6
Disadvantages Of Email Marketing:
1. Irrelevant Emails: Costs can rise with irrelevant emails.
2. Poor Content: Boring emails can lead to disengagement.
3. Easy Unsubscribe: Customers can easily leave your list.
Slide 7
Email Marketing Tools
Choosing a good tool involves considering:
1. Deliverability: Email delivery rate.
2. Inbox Placement: Reaching inbox, not spam or promotions.
3. Ease of Use: Simplicity of use.
4. Cost: Affordability.
5. List Maintenance: Keeping the list clean.
6. Features: Regular features like Broadcast and Sequence.
7. Automation: Better with automation.
Slide 8
Top 5 Email Marketing Tools:
1. ConvertKit
2. Get Response
3. Mailchimp
4. Active Campaign
5. Aweber
Slide 9
Email Marketing Strategy
To get good results, consider:
1. Build your own list.
2. Never buy leads.
3. Respect your customers.
4. Always provide value.
5. Don’t email just to sell.
6. Write heartfelt emails.
7. Stick to a schedule.
8. Use photos and videos.
9. Segment your list.
10. Personalize emails.
11. Ensure mobile-friendliness.
12. Optimize timing.
13. Keep designs clean.
14. Remove cold leads.
Slide 10
Uses of Email Marketing:
1. Affiliate Marketing
2. Blogging
3. Customer Relationship Management (CRM)
4. Newsletter Circulation
5. Transaction Notifications
6. Information Dissemination
7. Gathering Feedback
8. Selling Courses
9. Selling Products/Services
Read Full Article:
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Report: Study and Implementation of Advance Intrusion Detection and Prevention System Based on Security Onion
1. Chapter-1
INTRODUCTION
Intrusion detection is the process of monitoring the events occurring in a computer system
or network and analyzing them for signs of possible incidents, which are violations or
imminent threats of violation of computer security policies, acceptable use policies, or
standard security practices. An intrusion detection system (IDS) is software that
automates the intrusion detection process . Network-Based IDS (NIDS) monitors network
traffic for particular network segments or devices and analyzes the network and
application protocol activity to identify suspicious activity . Security Log Analysis
Systems are also known as Log-based Intrusion Detection Systems (LIDS). Log Analysis
For Intrusion Detection is the process or techniques used to detect attacks on a specific
environment using logs as the primary source of information .
1.1. Outline
This Report describes how to build a system that combines Network Based Intrusion
Detection with Log Based Intrusion Detection to create a comprehensive security
monitoring platform. Chapter 2 provides an overview of essential terminology in the field
of Security Information Event Monitoring and Log Management. Chapter 3 builds on the
terminology by proposing a technical architecture and by providing configuration
guidance. Chapter 4 discusses Log Analysis and Correlation and the paper concludes by
discussing Alerting and Reporting in Chapter 5. This paper describes a fictional scenario
in which an intrusion is detected using NIDS and LIDS alerts on the monitor console. The
example demonstrates the value of this approach by following an intruder performing a
network scan, connect to a system and control gain, followed by privilege escalation on
the target system.
1.2. Problem Addressed
In an organization, there are many possible signs of incidents which may go unnoticed
each day. These events can be studied mainly by analyzing network behavior or by
reviewing computer security event logs. In order to avoid or minimize the losses from an
incident outcome, the events need to be analyzed as close to real-time as possible.
2. Chapter-2
Log Management and SIEM Overview
The NIST Guide to Computer Security Log Management states that information
regarding an incident may be recorded in several places, such as firewalls, routers,
network IDS, host IDS, and application logs. Organizations should deploy one or more
centralized logging servers and configure logging devices throughout the organization to
send duplicates of their log entries to the centralized logging servers. A log management
infrastructure consists of the hardware, software, networks and media used to generate,
transmit, store, analyze, and dispose of log data. This section describes the typical
architecture and functions of a log management.
2.1. Log Management Architecture
The NIST Guide to Computer Security Log Management
explains that a log
management infrastructure typically comprises of three tiers: log generation, log analysis
and storage, and log monitoring. The log generation tier involves hosts making their logs
available to log servers in the second tier. This is performed in two different ways. The
exact method depends on the log type, and, on the host and network controls. In one way
hosts run some services to send their log data over the network to log collection servers.
Alternatively, hosts allow the log servers to pull the log data from them. The logs are
often transferred to the log receivers either in a real-time or near-real-time manner, or in
occasional batches based on a schedule. The log analysis and storage tier is composed of
one or more log servers receiving log data from the hosts. These log receivers are also
called collectors or aggregators. To facilitate log analysis, automated methods of
converting logs from multiple formats to a single standard format needs to be
implemented. Syslog format of logging is often used for this purpose. The log monitoring
tier contains consoles that are used for monitoring and reviewing of log data and the
results of automated analysis.
2.2. Log Management Functions
Log management infrastructures typically perform several functions that assist in the
storage, analysis, and disposal of log data. These functions are normally performed in
2
3. such a way that they do not alter the original logs . General functions of log management
infrastructure include log parsing, event filtering and event aggregation.
2.3. SIEM
Security information and event management (SIEM) software provides the log
management infrastructure encompassing log analysis, log storage and log monitoring
tiers. What sets SIEM products apart from traditional log management software is the
ability to perform event correlation, alerting, incident management, reporting and forensic
investigation based on event analysis.
2.4. Log Management Benefits
Log events are the primary records of system and network activity. In the SANS Log
Management Survey, Shank (2010) provides an overview of typical reasons why log
management is used in an organization. In the order of importance:
• Detect/Prevent Unauthorized Access and insider Abuse
• Meet Regulatory Requirement
• Forensic Analysis and Correlation
• Ensure Regulatory Compliance
• Track Suspicious Behavior
• IT Troubleshooting and Network Operation
• Monitor User Activity
• Best Practices/Frameworks such as COBIT, ISO, ITIL, etc.
• Deliver Reports to Departments
• Measure Application Performance
3
4. Chapter-3
Proposed Architecture
Organizations should establish logging standards and procedures to ensure that adequate
information is collected by logs and security software and that the data is reviewed
regularly. This project uses the Security Onion (SO) live CD for setting up of the logging
and monitoring system. Snort is used as the intrusion detection engine from the two
different kinds of intrusion detection engines, Snort and Suricata , available on SO. Sguil,
Squert and Snorby provide the management console to view and classify sensor alerts.
OSSEC’s ability for log analysis, integrity checking, rootkit detection, real-time alerting
and active response across platforms makes it an excellent choice for host based intrusion
detection.
3.1. Security Onion
Security Onion (SO) is a Linux distribution for IDS (Intrusion Detection) and NSM
(Network Security Monitoring). It is based on Xubuntu 10.04 and contains Snort®,
Suricata, Sguil, Snorby , Squert , tcpreplay,
hping , and many other security tools.
Some of the major components of SO used in this document are described here.
3.1.1. Sguil
Sguil (pronounced sgweel) is probably best described as an aggregation system for
network security monitoring tools. Sguil's main component is an intuitive GUI that
provides access to real-time events, session data, and raw packet captures. When an alert
that needs more investigation has been identified, the Sguil client provides seamless
access to the data that is needed to make a decision as how to handle the situation. Sguil
uses a database backend for most of its data, which allows users to perform SQL queries
against several different types of security events .
3.1.2. Squert
Squert is a web application that is used to query and view event data stored in a Sguil
database
Squert is a visual tool that attempts to provide additional context to events
through the use of metadata, time series representations and weighted and logically
grouped result sets .
4
5. 3.1.3. Snort
Snort is an open source network intrusion prevention and detection system (IDS/IPS)
developed by Sourcefire. Combining the benefits of signature, protocol, and anomalybased inspection, it is the most widely deployed IDS/IPS technology .
3.1.4. Snorby
Snorby is a front end web application (scripted in Ruby on Rails) for any application that
logs events in the unified2 binary output format. Snorby integrates with intrusion
detection systems like Snort, Suricata and Sagan . The basic fundamental concepts behind
Snorby are simplicity and power.
3.1.5. OSSEC
OSSEC is an Open Source Host-based Intrusion Detection System (HIDS). It performs
log analysis, integrity checking, Windows registry monitoring, rootkit detection, real-time
alerting and active response.
3.1.6. ELSA
Enterprise Log Search and Archive (ELSA) is a centralized syslog framework built on
Syslog-NG, MySQL, and Sphinx full-text search. It provides a fully asynchronous webbased query interface that normalizes logs and makes searching billions of them for
arbitrary strings as easy as searching the web .
3.2. Security Monitoring Architecture with Security Onion
The Security Onion Live Distribution enables a monitoring system to be set up and
provides a convenient setup shortcut on the screen to configure the NSM infrastructure.
Hardware sizing of the monitoring system mainly depends on the network throughput of
the monitored links, number of sensors, types of rules, number of rules, pre processor
configuration and output plug-ins. For the network throughput of 200 Mbps or slower, we
were able to use server virtual platform with dual core, 2 GHz processor, 4 GB ram for
the dual sensor approach. Storage requirements also vary based on the network traffic,
amount of logging and archival needs of the environment. The deployment model
presented in this section follows a two sensor deployment strategy on the same monitor.
OSSEC’s ossec-log collector process is enables as syslog collector on the monitor.
5
6. Rsyslog or another tool such as syslog-ng can be used as syslog collector on SO, if
OSSEC log collector is required to run in secure mode to collect logs for the OSSEC
agents. Sensor can utilize OSSEC or Snort based rules based on the log type and rules to
detect the events of interest Sensor generated alerts are stored in the Sguil MySQL
database which is viewed using Sguil GUI or Squert web based UI. Sensor alerts are also
stored in the Snorby MySQL database which is accessed with Snorby web interface.
Sguil, Squert and Snorby data can be accessed remotely from different system.
3.3. Distributed sensors for complex environments
Security Onion allows deployment in a master / slave distributed sensor architecture for
large environments. Sensor deployment architecture depends on the network design,
network throughput and additional custom requirements. A Sguil system is composed of a
single Sguil server and of an arbitrary number of Sguil network sensors. The sensors
perform all the security monitoring tasks and feed information back to the server on a
regular basis. The server coordinates this information, stores it in a database and
communicates with Sguil clients running on administrator desktops. It can also issue
requests for specific information from the sensors. Each sensor monitors a single network
link although multiple sensors can be present on one physical machine.
3.4. Configuring Security Onion for Monitoring
Security Onion contains several network security monitoring tools and applications
integrated together which helps with the download, compile and installation of these
applications. When not in use, tools like Bro, or Suricata can either be disabled or
removed. The NSM infrastructure setup is done by clicking on setup icon .
6
10. 3.4.1. Configuring OSSEC as Log Collector
OSSEC HIDS agent monitors host activities based on the rules defined for anomalous
event such as rootkit detection, integrity checking etc. These agents can also forward the
logged events or intrusion activities to the OSSEC management system. In this section,
OSSEC is configured on the SO monitor as a log collector to receive the logs from other
hosts. OSSEC remote configuration option makes the OSSEC agent run as a management
system that listens for agent traffic on the specified port.
3.4.2. Configuring NIDS Sguil/Snort Sensor
Snort is configured to monitor network traffic in the NIDS mode using switch spanning
port in this section. Custom Snort configuration is created for this interface in the file
located
under
respective
interface
folder
at
/etc/nsm/HOSTNAME-
INTERFACE1/snort.conf. Network variables, dynamic loaded libraries and pre
processors are configured to match the custom environment in the Snort configuration
file. Global Snort custom rules and rule classifications are added to local.rules and
classifications.config respectively located at /etc/nsm/rules/. Specific sensor custom rules
are added to respective sensor /etc/nsm/HOSTNAME-INTERFACE1/rules/ local.rules
rule
configuration.
Custom
classifications
are
defined
to
the
config
file
/etc/nsm/HOSTNAME-INTERFACE1/classifications.config. Sensor data is collected into
the directory /nsm/sensor_data/HOSTNAME-NIC1 .
3.4.3. Configuring Sguil Server
The Sguil database is created when NSM setup wizard is first run. Sguil configuration file
/etc/sguild/server.conf allows customization of the Sguil database and other environment
settings to suit the custom environment .The DAYSTOKEEP variable in the
configuration file /etc/nsm/securityonion.conf allows setting a retention period for the
alerts in the Sguil database. The NSM infrastructure service is started with the nsm script
provided on Security Onion.
user@orionvm:~$ sudo service nsm start
Starting: securityonion
* starting: sguil server [ OK ]
10
11. Starting: orionvm-eth0
* starting: pcap_agent (sguil) [ OK ]
* starting: sancp_agent (sguil) [ OK ]
* starting: snort_agent (sguil) [ OK ]
* starting: snort (alert data) [ OK ]
* starting: barnyard2 (spooler, unified2 format) [ OK ]
* starting: sancp (session data) [ OK ]
* starting: pads (asset info) [ OK ]
* starting: pads_agent (sguil) [ OK ]
* starting: daemonlogger (full packet data) [ OK ]
* starting: argus [ OK ]
* starting: httpry [ OK ]
* starting: httpry_agent (sguil) [ OK ]
Starting: orionvm-eth1
* starting: pcap_agent (sguil) [ OK ]
* starting: sancp_agent (sguil) [ OK ]
* starting: snort_agent (sguil) [ OK ]
* starting: snort (alert data) [ OK ]
11
12. * starting: barnyard2 (spooler, unified2 format) [ OK ]
* starting: sancp (session data) [ OK ]
* starting: pads (asset info) [ OK ]
* starting: pads_agent (sguil) [ OK ]
* starting: daemonlogger (full packet data) [ OK ]
* starting: argus [ OK ]
* starting: httpry [ OK ]
* starting: httpry_agent (sguil) [ OK ]
Starting: HIDS
* starting: ossec_agent (sguil) [ OK ]
After all services are started, the Sguil client can be launched. Sguil then allows selecting
which networks to monitor (eth0, eth1 and ossec). Clicking the Select All button shows
alerts from all sensors in the Sguil client.
3.5. Rules
Snort and OSSEC have a large number of rule sets available to choose from. Large
numbers of anomalies are detected right from the start using these rulesets. These rulesets
needs to be tuned to reduce the number of false positives. NIDS sensor works with Snort
rules to alert on a network event of interest. Writing rules becomes most important and
arguably most difficult part of the network security monitoring.
3.5.1. Snort Rule
Snort rules are powerful, flexible and relatively easy to write. All Snort rules follow a
very simple format and define what Snort should watch for as it inspects packet header,
payload or both. Snort rules are divided into two logical sections, the rule header and the
rule body. The optional rule body follows the rule header and is surrounded by
parentheses. Snort rules based on content inspection look for raw text, hex data
("!9090!"), or a mix of both. That makes it easy to write a rule to look for the known
patterns and detect a log based event. Here is a rule writing example to alert for a
Windows security log event id 540 associated with anonymous logon.
12
13. alert udp any any -> $central-log-server 514 (msg:"WindowsAnonymous Network
Logon";content:"Security,540,";nocase;content:"anonymous";nocase;reference:bugtraq,5
40;reference:url,http://www.ultimatewindowssecurity.com/securitylog/encyclopedia/even
t.aspx?eventid=540; classtype:attempted-user;priority:2; sid:505401; rev:1;)
In the example above, the first part of the rule header before “(“describes the rule to alert
an event for the UDP traffic flowing from any IP address, any source port to the central
log server on port 514. The second part of the rule body looks in the payload for the
content “Security,540, ” unique to the Windows successful network logon and then
content “anonymous” for anonymous user logon. It assigns an id “505401”, revision level
“1”, priority “2” and a rule message “Windows Anonymous Network Logon" to identify
the rule.
13
14. Chapter-4.
Log Analysis & Correlation
Log analysis is an art and is geared towards narrowing down to the events of interest.
Analyst needs to focus on recent changes, failures, errors, status changes, access and
administration events, and other events unusual for your environment. Hence, it is
important to minimize noise by removing routine, repetitive log entries from the view
after confirming that they are benign.
4.1. Event Analysis
Analysis typically begins with Snort or OSSEC alerts displayed on the Sguil console in
near real time. Analysts can then categorize the alert based on type of activity or escalate
the alert to a more senior analyst for further analysis. Analyst highlight the alert and press
the appropriate function key associated with the event classification or right click on the
alert and select the appropriate event status. Optional comments (about the action and
why the action is taken) to the alerts can be added. Alerts are still available for reporting
or further analysis at a later date from the database. Sguil provides full logging and audit
trail of alert activity i.e. who took the action, when action was taken etc. This figure
shows the default categories available to classify an alert. We see the Sguil console in the
next screen with some alerts. These alerts are combination of Snort NIDS alerts, custom
Snort Windows log alerts and OSSEC alerts. In the first two alerts, a reconnaissance scan
is performed for services on RPC port 135 and SMB port 445 to network 192.168.1.0.
Following the scan, there are Windows Logon events to address 192.168.1.33 from the
intruder or compromised machine with address 192.168.100.2 Highlighting the alert
shows the alert data and the rule that triggered this event if the respective checkboxes are
selected. Wire shark Can be used for the further pcap analysis.
4.2. Database Query
Sguil database alerts searches are initiated using different templates. For a blank template,
the Query->Event Query may be used. Once selected, a query builder pops up to edit the
query. Only the WHERE statement can be edited. Other templates are available by
selecting an event and right clicking on the src/dst ip columns.
To create a standard
query for global use, edit the sguild.queries file on your sguild server.
14
16. 4.3. Event Correlation
It becomes easier to correlate events by having multiple sensors feeding different types of
events into the same analysis console. Correlating activities across different logs provides
a comprehensive picture of the chain of events. Analysts need to develop theories about
what occurred and explore logs to confirm or disprove those theories. It is important for
the analyst to rely on the time stamps contained in logs, especially when time zone
differences are considered. Event correlation becomes more difficult if the devices
reporting events have inconsistent clock settings. The chain of events in the followed
example show that an initial service scan, followed by an administrator account log on,
account creation and account membership change events were all part of the same
organized incident
4.4. Auto Categorization
Sguil can
automatically categorize
events
by editing
the
autocat.conf
file
at/etc/nsm/securityonion/ on the Sguil server. These event will have a status automatically
assigned to them and will not appear in any analyst's console
16
17. Chapter-5
Log Alerting & Reporting
The sensor alerts on Security Onion are sent to both the Snorby and Sguil MySQL
databases on the master server. Therefore, there are two different ways to perform
analysis and reporting based on the database source. Alert notifications can be produced
in different ways as well. Analyst can decide what works best for their custom
environment to suit their alerting requirement.
5.1. Alert Classification and Prioritization
Real-time alerting with Snort is highly customizable. Alerts that need to result in real time
notification can be chosen by assigning a priority to each rule, and by rule classifications.
Each rule can have an individual priority attached to it, and every rule can be included in
a classification of rules that has a priority attached to it. Rules can be prioritized as such
that one priority of rule can be sent to one person while a different priority is sent to
another. These different rules alerts can also be notified in different manners. One priority
of rules can be sent to an email address that notifies via pager while another can simply
send an email. The priority levels for rule categories are edited in the classification.config
file located at /etc/nsm/HOSTNAME-INTERFACE/.
5.2. Email Alert with Sguil
Sguil’s
email
alerting
configuration
is
in
the
file
sguild.email
located
at/etc/nsm/securityonion/ and it contains email related information such as smtp server,
from to email ids etc. Alerts can be notified based on the alert classes, alert SIDs and
priorities in a space delimited manner configured in the above file. Any particular alert
SID(s) can also be disabled to stop sending email about that alert. Restart the Sguil
daemon on the master server to take it into effect.
$sudo nsm_server_ps-restart
5.3. Email Alert with OSSEC
The email address and host related information is configured inside the <global> section
of the OSSEC configuration file at /var/ossec/etc/ossec.conf.
<global>
17
18. <email_notification>yes</email_notification>
<email_to>admin@myorg.com</email_to>
<smtp_server>smtp.myorg.com</smtp_server>
<email_from>ossec@myorg.com</email_from>
</global>
The email_alert_level option set inside the <alerts> section of the ossec.conf file specifies
the minimum alert level to send email notifications. Then restart the OSSEC:
$sudo service ossec restart.
5.5. Sguil Reporting
Sguil offers few basic reporting but lacks the mechanism to schedule reports, and reports
with charts and graphs. Plain text or email reports are created by selecting the events to
report and choosing appropriate report type from the report menu. Summary reports
contain the full packet headers while detail reports add the payloads as well.
5.6. Snorby Reporting
Snorby brings network security monitoring data to life with a suite of beautiful, relevant
and actionable metrics. Snorby is also very configurable. It can add custom severities or
classifications, manage email notifications, and even extend functionality with third party
products from an intuitive administration menu. It allows sharing data reports like sensor
activity comparisons or most active signatures with daily, weekly, monthly, and ad-hoc
PDF reports .
18
20. Chapter-6
Conclusion
This project shows the importance of log managements and network monitoring for the
effective security monitoring and compliance of an organization. It provides an open
source solution to a complex and very common challenge of log management and
network monitoring. The solution is based on a framework provided by the Security
Onion Linux Distribution, which makes it possible to integrate necessary applications on
one platform. It tries to provide a cost effective logging, alerting and monitoring solution
alternative to the organizations that cannot afford commercially available SIEM (Security
Information and Event Management) solutions. This
highlights the necessary
components in the logging process and how each plays a key role to stay on top of
security monitoring. We show, how not only network traffic but log traffic can also be
monitored to detect, log and report different activities using same techniques.
20
21. Chapter-7
References
Bianco, David J. (2012). Open Source Network Security Monitoring With Sguil.
Retrieved from http://www.vorant.com/files/nsm_with_sguil.pdf Burks, Doug (2012).
Security Onion. Retrieved from http://securityonion.blogspot.com/ Chuvakin, A &
Zeltser, L. (2012). Critical Log Review Checklist for Security Incidents. Retrieved from
http://zeltser.com/log-management/security-incident-log-reviewchecklist. html Cid,
Daniel
B.
(2007).
Log
Analysis
using
OSSEC.
Retrieved
from
http://www.ossec.net/ossecdocs/ auscert-2007-dcid.pdf Holste, M. (2012). Enterprise-logsearch-and-archive. Retrieved from http://code.google.com/p/enterprise-log-search-andarchive/
K. & Souppaya, M. (2006). Guide to Computer Security Log Management. National
Institute of Standards and Technology (NIST) Publication 800-92. Retrieved from
http://csrc.nist.gov/publications/nistpubs/800-92/SP800-9
21