Cybersecurity and Information Engineering

Cybersecurity and Information Engineering: From Entropy to Reverse Engineering explores the intersection of cybersecurity, information theory, and reverse engineering, offering a cutting-edge approach to malware detection and analysis. The book unveils universal principles of information systems, shedding light on how malicious code can be identified, analyzed, and mitigated through innovative methodologies. It bridges the gap between theoretical frameworks and real-world applications, offering readers the tools to better understand and combat evolving cyber threats. Sections address the growing need for advanced, data-driven techniques in malware detection and reverse engineering, providing a theoretical foundation for understanding malware through the lens of information theory.

The book equips readers with practical tools for reverse engineering and detecting malicious code and demonstrates how universal laws of information and entropy apply to the identification and analysis of threats. In doing so, the book offers a structured and accessible approach to combining theoretical information science with practical cybersecurity techniques, providing insights into using entropy and quantification of information to identify malicious patterns and behaviors. Author Paul Gagniuc makes the connection between cybersecurity, information theory, and computational science to foster a broader understanding of cyber threats and how to apply these concepts in real-world scenarios to strengthen cybersecurity defenses.