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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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Sikos, Leslie F. (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Intelligent Systems Reference Library, 151
Subjects:
Computational intelligence.
Artificial intelligence.
Data protection.
Computational Intelligence.
Artificial Intelligence.
Data and Information Security.
Online Access:Full-text access
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Table of Contents:
  • 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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