Foundation of Malware Analysis and Detection

Abstract

In today's interconnected digital world, the threat of malware looms large, posing significant risks to individuals, businesses, and governments. This chapter serves as a comprehensive introduction to the critical field of malware analysis and detection. The chapter begins with a definition of malware, exploring its various forms and the historical perspective of its evolution. The authors delve into the different types of malware, including viruses, worms, Trojans, ransomware, and more, understanding their unique behaviors and propagation methods. Building upon this foundation, they introduce the fundamental concepts of malware analysis methodologies, including static and dynamic analysis, reverse engineering, virtualization, and sandboxing. These techniques enable cybersecurity professionals to gain insights into malware behavior and functionality. To address this challenge, the chapter introduces advanced malware analysis techniques, such as memory forensics, behavioral analysis, kernel-level rootkit detection, and machine learning-based analysis.