Cyber-Security Threats, Actors, and Dynamic Mitigation provides
both a technical and state-of-the-art perspective as well as a
systematic overview of the recent advances in different facets of
cyber-security. It covers the methodologies for modeling attack
strategies used by threat actors targeting devices, systems, and
networks such as smart homes, critical infrastructures, and
industrial IoT. With a comprehensive review of the threat
landscape, the book explores both common and sophisticated threats
to systems and networks. Tools and methodologies are presented for
precise modeling of attack strategies, which can be used both
proactively in risk management and reactively in intrusion
prevention and response systems. Several contemporary techniques
are offered ranging from reconnaissance and penetration testing to
malware detection, analysis, and mitigation. Advanced machine
learning-based approaches are also included in the area of
anomaly-based detection, that are capable of detecting attacks
relying on zero-day vulnerabilities and exploits. Academics,
researchers, and professionals in cyber-security who want an
in-depth look at the contemporary aspects of the field will find
this book of interest. Those wanting a unique reference for various
cyber-security threats and how they are detected, analyzed, and
mitigated will reach for this book often.
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