Advanced Malware Analysis And Intelligence


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Advanced Malware Analysis and Intelligence


Advanced Malware Analysis and Intelligence

Author: Mahadev Thukaram

language: en

Publisher: BPB Publications

Release Date: 2025-01-13


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DESCRIPTION Advanced Malware Analysis and Intelligence teaches you how to analyze malware like a pro. Using static and dynamic techniques, you will understand how malware works, its intent, and its impact. The book covers key tools and reverse engineering concepts, helping you break down even the most complex malware. This book is a comprehensive and practical guide to understanding and analyzing advanced malware threats. The book explores how malware is created, evolves to bypass modern defenses, and can be effectively analyzed using both foundational and advanced techniques. Covering key areas such as static and dynamic analysis, reverse engineering, malware campaign tracking, and threat intelligence, this book provides step-by-step methods to uncover malicious activities, identify IOCs, and disrupt malware operations. Readers will also gain insights into evasion techniques employed by malware authors and learn advanced defense strategies. It explores emerging trends, including AI and advanced attack techniques, helping readers stay prepared for future cybersecurity challenges. By the end of the book, you will have acquired the skills to proactively identify emerging threats, fortify network defenses, and develop effective incident response strategies to safeguard critical systems and data in an ever-changing digital landscape. KEY FEATURES ● Covers everything from basics to advanced techniques, providing practical knowledge for tackling real-world malware challenges. ● Understand how to integrate malware analysis with threat intelligence to uncover campaigns, track threats, and create proactive defenses. ● Explore how to use indicators of compromise (IOCs) and behavioral analysis to improve organizational cybersecurity. WHAT YOU WILL LEARN ● Gain a complete understanding of malware, its behavior, and how to analyze it using static and dynamic techniques. ● Reverse engineering malware to understand its code and functionality. ● Identifying and tracking malware campaigns to attribute threat actors. ● Identify and counter advanced evasion techniques while utilizing threat intelligence to enhance defense and detection strategies. ● Detecting and mitigating evasion techniques used by advanced malware. ● Developing custom detections and improving incident response strategies. WHO THIS BOOK IS FOR This book is tailored for cybersecurity professionals, malware analysts, students, and incident response teams. Before reading this book, readers should have a basic understanding of operating systems, networking concepts, any scripting language, and cybersecurity fundamentals. TABLE OF CONTENTS 1. Understanding the Cyber Threat Landscape 2. Fundamentals of Malware Analysis 3. Introduction to Threat Intelligence 4. Static Analysis Techniques 5. Dynamic Analysis Techniques 6. Advanced Reverse Engineering 7. Gathering and Analysing Threat Intelligence 8. Indicators of Compromise 9. Malware Campaign Analysis 10. Advanced Anti-malware Techniques 11. Incident Response and Remediation 12. Future Trends in Advanced Malware Analysis and Intelligence APPENDIX: Tools and Resources

Artificial Intelligence in Cyber Security Advanced Threat Detection and Prevention Strategies


Artificial Intelligence in Cyber Security Advanced Threat Detection and Prevention Strategies

Author: Rajesh David

language: en

Publisher: RK Publication

Release Date: 2024-11-05


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Artificial Intelligence in Cyber Security Advanced Threat Detection and Prevention Strategies the transformative role of AI in strengthening cybersecurity defenses. This a comprehensive guide to how AI-driven technologies can identify, analyze, and mitigate sophisticated cyber threats in real time. Covering advanced techniques in machine learning, anomaly detection, and behavioral analysis, it offers strategic insights for proactively defending against cyber attacks. Ideal for cybersecurity professionals, IT managers, and researchers, this book illuminates AI's potential to anticipate vulnerabilities and safeguard digital ecosystems against evolving threats.

Malware Analysis Using Artificial Intelligence and Deep Learning


Malware Analysis Using Artificial Intelligence and Deep Learning

Author: Mark Stamp

language: en

Publisher: Springer Nature

Release Date: 2020-12-20


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​This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed. This book fills a gap between the emerging fields of DL/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.