Game Theory and Machine Learning for Cyber Security

Offers an extensive overview of computer hacking, basic security, and penetration testing. The book aims to equip readers with the knowledge of how hacking operates, enabling them to protect their systems by understanding both criminal and ethical hacking techniques. It covers various aspects, including identifying hacker motivations and targets, mapping out hacking plans and system vulnerabilities, and understanding different types of attacks, such as passive and active exploits. Furthermore, the guide introduces common hacking tools and details methods for fooling targets through spoofing and man-in-the-middle attacks, cracking passwords, and exploiting network connections, including Wi-Fi and mobile devices. Finally, it discusses the critical role of social engineering and physical attacks in breaching security, alongside providing strategies to mitigate such risks.

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Game Theory and Machine Learning for Cyber Security

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