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The art of computer virus research and defense
Abstract
Of all the computer-related books I've read recently, this one influenced my thoughts about security the most. There is very little trustworthy information about computer viruses. Peter Szor is one of the best virus analysts in the world and has the perfect credentials to write this book.-Halvar Flake, Reverse Engineer, SABRE Security GmbHSymantec's chief antivirus researcher has written the definitive guide to contemporary virus threats, defense techniques, and analysis tools. Unlike most books on computer viruses, The Art of Computer Virus Research and Defense is a reference written strictly for white hats: IT and security professionals responsible for protecting their organizations against malware. Peter Szor systematically covers everything you need to know, including virus behavior and classification, protection strategies, antivirus and worm-blocking techniques, and much more.Szor presents the state-of-the-art in both malware and protection, providing the full technical detail that professionals need to handle increasingly complex attacks. Along the way, he provides extensive information on code metamorphism and other emerging techniques, so you can anticipate and prepare for future threats.Szor also offers the most thorough and practical primer on virus analysis ever published-addressing everything from creating your own personal laboratory to automating the analysis process. This book's coverage includes Discovering how malicious code attacks on a variety of platforms Classifying malware strategies for infection, in-memory operation, self-protection, payload delivery, exploitation, and more Identifying and responding to code obfuscation threats: encrypted, polymorphic, and metamorphic Mastering empirical methods for analyzing malicious code-and what to do with what you learn Reverse-engineering malicious code with disassemblers, debuggers, emulators, and virtual machines Implementing technical defenses: scanning, code emulation, disinfection, inoculation, integrity checking, sandboxing, honeypots, behavior blocking, and much more Using worm blocking, host-based intrusion prevention, and network-level defense strategies © Copyright Pearson Education. All rights reserved.
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Cited by
A survey on automated dynamic malware-analysis techniques and tools
Egele, M., Scholte, T., Kirda, E., & Kruegel, C. (2012) · ACM Computing Surveys · doi:10.1145/2089125.2089126 · Cited by 871
Automatic analysis of malware behavior using machine learning
Rieck, K., Trinius, P., Willems, C., & Holz, T. (2011) · Journal of Computer Security · doi:10.3233/jcs-2010-0410 · Cited by 729
A Comprehensive Review on Malware Detection Approaches
Aslan, O., & Samet, R. (2020) · IEEE Access · doi:10.1109/access.2019.2963724 · Cited by 649
A comprehensive survey on network anomaly detection
Fernandes, G., Rodrigues, J. J. P. C., Carvalho, L. F., Al-Muhtadi, J. F., & Proença, M. L. (2019) · Telecommunication Systems · doi:10.1007/s11235-018-0475-8 · Cited by 382
Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity
Shaukat, K., Luo, S., Varadharajan, V., Hameed, I., Chen, S., Liu, D., & Li, J. (2020) · Energies · doi:10.3390/en13102509 · Cited by 303
Metadata
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 2005-11-01
- Volume
- 43
- Issue
- 03
- Pages
- 43-1613-43-1613
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- OpenAlex
- W1595564425
- Cited by
- 836
- References
- 0
- Type
- book review
- Language
- en
- Open access
- closed
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