Titlebook: Machine Learning Techniques for Cybersecurity; Elisa Bertino,Sonam Bhardwaj,Ashraf Y. Mahgoub Book 2023 The Editor(s) (if applicable) and

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Software Security Analysis,ements of conventional techniques have thus been proposed. In this chapter, we cover ML techniques for static analysis and ML-based fuzzing. We also discuss natural language processing techniques for the analysis of software specifications written in natural language to support different security-related tasks.

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Hardware Security Analysis,cation to find vulnerabilities in the prototype before the official release. In fact, in the hardware design cycle, hardware verification can take 60–75% of the time, and computing and human resources.

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Book 2023frastructures vulnerable as a consequence of the dramatic increase in botnets, data ransom, system and network denials of service, sabotage, and data theft attacks. The use of ML techniques for security tasks has been steadily increasing in research and also in practice over the last 10 years. Cover

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Hardware Security Analysis,bilities are much harder to deal with because hardware cannot be patched easily as software. Thus, hardware developers heavily rely on hardware verification to find vulnerabilities in the prototype before the official release. In fact, in the hardware design cycle, hardware verification can take 60–

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