Malware Analysis and Intrusion Detection in Cyber-Physical Systems

Bys: Darshan, S. L. Shiva and Prashanth, B. S.

Many static and behavior-based malware detection methods have been developed to address malware and other cyber threats. Even though these cybersecurity systems offer good outcomes in a large dataset, they lack reliability and robustness in terms of detection. There is a critical need for relevant research on enhancing AI-based cybersecurity solutions such as malware detection and malicious behavior identification. 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.

• Format: Paperback
• Language: English
• ISBN: 1668486679
• ISBN13: 9781668486672
• Release Date: June 2023
• Publisher: IGI Global
• Length: 456 Pages
• Weight: 1.73 lbs.
• Dimensions: 0.9" x 7.0" x 10.0"