Malware Analysis and Intrusion Detection in Cyber-Physical Systems
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 r...
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| Format: | Electronic eBook |
| Language: | English |
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Hershey :
IGI Global,
2023.
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MARC
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| 050 | 4 | |a QA76.76.C68 .M323 20 | |
| 100 | 1 | |a Shiva Darshan, S. L. | |
| 245 | 1 | 0 | |a Malware Analysis and Intrusion Detection in Cyber-Physical Systems |
| 260 | |a Hershey : |b IGI Global, |c 2023. | ||
| 300 | |a 1 online resource (451 p.) | ||
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| 500 | |a Description based upon print version of record. | ||
| 505 | 0 | |a Title Page -- Copyright Page -- Book Series -- Table of Contents -- Detailed Table of Contents -- Preface -- Chapter 1: Introduction to the Cyber-Security Landscape -- Chapter 2: Foundation of Malware Analysis and Detection -- Chapter 3: Malware Analysis and Classification -- Chapter 4: Wrapper-Based Feature Selection for Detecting the Lexical Phishing Websites Using Ensemble Learning Algorithms -- Chapter 5: Classification of Firewall Log Files Using Supervised Machine Learning Techniques -- Chapter 6: Discernment and Perusal of Software Vulnerability | |
| 505 | 8 | |a Chapter 7: Knowledge Repository on Cyber Security -- Chapter 8: Impact of Information Leakage and Conserving Digital Privacy -- Chapter 9: Intrusion Detection in Cyber Physical Systems Using Multichain -- Chapter 10: Malware Analysis With Machine Learning -- Chapter 11: Malware Forensics Analysis and Detection in Cyber Physical Systems -- Chapter 12: Malware Analysis and Its Mitigation Tools -- Chapter 13: Malware Forensics -- Chapter 14: Malware Detection Using Yara Rules in SIEM -- Chapter 15: Malware Mitigation Tools -- Chapter 16: The Future of Cyber Security Starts Today, Not Tomorrow | |
| 505 | 8 | |a Compilation of References -- About the Contributors -- Index | |
| 520 | |a 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 C. | ||
| 700 | 1 | |a Manoj Kumar, M. V. | |
| 700 | 1 | |a Prashanth, B. S. | |
| 700 | 1 | |a Vishnu Srinivasa Murthy, Y. | |
| 776 | 0 | 8 | |i Print version: |a Shiva Darshan, S. L. |t Malware Analysis and Intrusion Detection in Cyber-Physical Systems |d Hershey : IGI Global,c2023 |z 9781668486665 |
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| 952 | f | f | |p Can circulate |a University of Colorado Boulder |b Online |c Online |d Online |e QA76.76.C68 .M323 20 |h Library of Congress classification |i web |