img Leseprobe Leseprobe

Reinforcement Learning for Cyber Operations

Applications of Artificial Intelligence for Penetration Testing

Sachin Shetty, Christopher Redino, Abdul Rahman, et al.

EPUB
110,99
Amazon iTunes Thalia.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus ebooks-center.de
* Affiliatelinks/Werbelinks
Hinweis: Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.

Wiley-IEEE Press img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Informatik

Beschreibung

A comprehensive and up-to-date application of reinforcement learning concepts to offensive and defensive cybersecurity

In Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing, a team of distinguished researchers delivers an incisive and practical discussion of reinforcement learning (RL) in cybersecurity that combines intelligence preparation for battle (IPB) concepts with multi-agent techniques. The authors explain how to conduct path analyses within networks, how to use sensor placement to increase the visibility of adversarial tactics and increase cyber defender efficacy, and how to improve your organization’s cyber posture with RL and illuminate the most probable adversarial attack paths in your networks.

Containing entirely original research, this book outlines findings and real-world scenarios that have been modeled and tested against custom generated networks, simulated networks, and data. You’ll also find:

  • A thorough introduction to modeling actions within post-exploitation cybersecurity events, including Markov Decision Processes employing warm-up phases and penalty scaling
  • Comprehensive explorations of penetration testing automation, including how RL is trained and tested over a standard attack graph construct
  • Practical discussions of both red and blue team objectives in their efforts to exploit and defend networks, respectively
  • Complete treatment of how reinforcement learning can be applied to real-world cybersecurity operational scenarios

Perfect for practitioners working in cybersecurity, including cyber defenders and planners, network administrators, and information security professionals, Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing will also benefit computer science researchers.

Weitere Titel in dieser Kategorie
Cover Signals and Systems
Fatos Tunay Yarman Vural
Cover Some Future Day
Marc Beckman

Kundenbewertungen

Schlagwörter

cybersecurity and ML, cybersecurity best practices, machine learning cybersecurity, service scanning, AI pentesting, penetration testing automation, cybersecurity events, Cybersecurity automation, cybersecurity operations, cybersecurity research