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.
- | Author: S.L. Shiva Darshan, M. V. Manoj Kumar, B.S. Prashanth, Y. Vishnu Srinivasa Murthy, Y. Vishnu Srinivasa
- | Publisher: Igi Global
- | Publication Date: Jun 30, 2023
- | Number of Pages: 310 pages
- | Language: English
- | Binding: Hardcover
- | ISBN-10: 1668486660
- | ISBN-13: 9781668486665