Malware Analysis and Intrusion Detection in Cyber-Physical Systems

"Malware Analysis and Intrusion Detection in Cyber-Physical Systems focuses on dynamic malware analysis and its time sequence output of observed activity, including advanced machine learning and AI-based malware detection and categorization tasks in real time. Covering topics such as intrusion detection systems, low-cost manufacturing, and surveillance robots, this premier reference source is essential for cyber security professionals, computer scientists, students and educators of higher education, researchers, and academicians"-- Provided by publisher Title Page 1 Copyright Page 2 Book Series 3 Table of Contents 5 Detailed Table of Contents 9 Preface 19 Chapter 1: Introduction to the Cyber-Security Landscape 37 Chapter 2: Foundation of Malware Analysis and Detection 58 Chapter 3: Malware Analysis and Classification 78 Chapter 4: Wrapper-Based Feature Selection for Detecting the Lexical Phishing Websites Using Ensemble Learning Algorithms 100 Chapter 5: Classification of Firewall Log Files Using Supervised Machine Learning Techniques 121 Chapter 6: Discernment and Perusal of Software Vulnerability 151 Chapter 7: Knowledge Repository on Cyber Security 177 Chapter 8: Impact of Information Leakage and Conserving Digital Privacy 202 Chapter 9: Intrusion Detection in Cyber Physical Systems Using Multichain 225 Chapter 10: Malware Analysis With Machine Learning 251 Chapter 11: Malware Forensics Analysis and Detection in Cyber Physical Systems 274 Chapter 12: Malware Analysis and Its Mitigation Tools 299 Chapter 13: Malware Forensics 321 Chapter 14: Malware Detection Using Yara Rules in SIEM 349 Chapter 15: Malware Mitigation Tools 367 Chapter 16: The Future of Cyber Security Starts Today, Not Tomorrow 384 Compilation of References 412 About the Contributors 441 Index 448 Focuses on dynamic malware analysis and its time sequence output of observed activity, including advanced machine learning and AI-based malware detection and categorization tasks in real time. Topics covered include intrusion detection systems, low-cost manufacturing, and surveillance robots.