AI in Cybersecurity

This book presents a collection of state-of-the-art AI approaches to cybersecurity and cyberthreat intelligence, offering strategic defense mechanisms for malware, addressing cybercrime, and assessing vulnerabilities to yield proactive rather than reactive countermeasures. The current variety and sc...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Sikos, Leslie F. (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edisyon:1st ed. 2019.
Seri Bilgileri:Intelligent Systems Reference Library, 151
Konular:
Computational intelligence.
Artificial intelligence.
Data protection.
Computational Intelligence.
Artificial Intelligence.
Data and Information Security.
Online Erişim:Full-text access
OPAC'ta görüntüle
İçindekiler:
  • OWL Ontologies in Cybersecurity: Conceptual Modeling of Cyber-Knowledge
  • Knowledge Representation of Network Semantics for Reasoning-Powered Cyber-Situational Awareness
  • The Security of Machine Learning Systems
  • Patch Before Exploited: An Approach to Identify Targeted Software Vulnerabilities
  • Applying Artificial Intelligence Methods to Network Attack Detection
  • Machine Learning Algorithms for Network Intrusion Detection
  • Android Application Analysis using Machine Learning Techniques.

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