What this book covers
Chapter 1, Malware Science Life Cycle Overview, is an introduction to malware’s life cycle stages, challenges, and applicable data science techniques.
Chapter 2, An Overview of the International History of Cyber Malware Impacts, gives a look at the evolving landscape of cyber threats and global countermeasures, emphasizing data science’s role.
Chapter 3, Topological Data Analysis for Malware Detection and Analysis, is an exploration of how topology data analysis can unearth patterns in malware behavior.
Chapter 4, Artificial Intelligence for Malware Data Analysis and Detection, is a discussion on AI’s capabilities for automating malware analysis and detection.
Chapter 5, Behavior-Based Malware Data Analysis and Detection, is an insight into behavior-based analysis techniques for identifying malicious activities.
Chapter 6, The Future State of Malware Data Analysis and Detection, is an examination of upcoming trends and challenges in malware analysis.
Chapter 7, The Future State of Key International Compliance Requirements, is a review of the regulatory landscape and organizational compliance steps for GDPR and CCPA.
Chapter 8, Epilogue – A Harmonious Overture to the Future of Malware Science and Cybersecurity, metaphorically compares the evolving field of malware science to a symphony, emphasizing its role as a proactive and dynamic defense against the ever-changing landscape of cybersecurity threats.
