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Many small and medium scale businesses cannot afford to procure expensive cybersecurity tools. In many cases, even after procurement, lack of a workforce with knowledge of the standard architecture of enterprise security, tools are often used ineffectively. The Editors have developed multiple projects which can help in developing cybersecurity solution architectures and the use of the right tools from the open-source software domain. This book has 8 chapters describing these projects in detail with recipes on how to use open-source tooling to obtain standard cyber defense and the ability to do self-penetration testing and vulnerability assessment. This book also demonstrates work related to malware analysis using machine learning and implementation of honeypots, network Intrusion Detection Systems in a security operation center environment. It is essential reading for cybersecurity professionals and advanced students.
Many small and medium scale businesses cannot afford to procure expensive cybersecurity tools. In many cases, even after procurement, lack of a workforce with knowledge of the standard architecture of enterprise security, tools are often used ineffectively. The Editors have developed multiple projects which can help in developing cybersecurity solution architectures and the use of the right tools from the open-source software domain. This book has 8 chapters describing these projects in detail with recipes on how to use open-source tooling to obtain standard cyber defense and the ability to do self-penetration testing and vulnerability assessment. This book also demonstrates work related to malware analysis using machine learning and implementation of honeypots, network Intrusion Detection Systems in a security operation center environment. It is essential reading for cybersecurity professionals and advanced students.
Introduction
Part I: Deception Technologies & Threat Visibility – Honeypots and
Security Operations Center
Chapter 1 Honeynet - Deploying a connected system of diverse
honeypots using Open-source Tools
Chapter 2 Leveraging research honeypots for generating credible
threat intelligence and advanced threat analytics
Chapter 3 Implementation of Honeypot, NIDS and HIDS technologies in
SOC Environment
Chapter 4 Collating Threat Intelligence for Zero Trust Future using
open-source tools
Part II: Malware Analysis
Chapter 5 Feature Engineering and Analysis towards robust detection
of Android Malware
Chapter 6 Malware Analysis using machine learning
Part III: Tools for Vulnerability Assessment and Penetration
Testing
Chapter 7 Use Mod-Security Web Application Firewall to Mitigate
OWASP’s Top 10 Web Application Vulnerabilities
Chapter 8 Offensive Security with Huntsman: A concurrent versatile
malware
Anand Handa is a researcher and executive project engineer at the
C3i Center at the Indian Institute of Technology Kanpur. His
research interests are at the intersection of Machine learning and
Cyber security. His role at C3i involves working on projects having
malware analysis and IDS as significant components.
Rohit Negi is the lead engineer and chief security architect of the
C3i Center -- a center for cyber security and cyber defense of
critical infrastructures at the Indian Institute of Technology
Kanpur. His research is in the field of cyber security of Cyber
Physical Systems.
Sandeep K. Shukla is a professor of Computer Science and
Engineering at the Indian Institute of Technology. He is an IEEE
Fellow, ACM distinguished scientist and Subject Matter Expert in
Cyber Security of cyber-physical systems and Blockchain Technology.
A recipient of various prestigious honors, he serves as a program
director of C3i Hub, joint coordinators for the C3I Center and
the National Blockchain Project at IIT Kanpur, India.
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