AI in Cybersecurity

  • Leslie F. Sikos

Part of the Intelligent Systems Reference Library book series (ISRL, volume 151)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Leslie F. Sikos, Dean Philp, Catherine Howard, Shaun Voigt, Markus Stumptner, Wolfgang Mayer
    Pages 19-45
  3. Luis Muñoz-González, Emil C. Lupu
    Pages 47-79
  4. Mohammed Almukaynizi, Eric Nunes, Krishna Dharaiya, Manoj Senguttuvan, Jana Shakarian, Paulo Shakarian
    Pages 81-113
  5. Alexander Branitskiy, Igor Kotenko
    Pages 115-149
  6. Jie Li, Yanpeng Qu, Fei Chao, Hubert P. H. Shum, Edmond S. L. Ho, Longzhi Yang
    Pages 151-179
  7. Takeshi Takahashi, Tao Ban
    Pages 181-205

About this book


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 scope of cybersecurity threats far exceed the capabilities of even the most skilled security professionals. In addition, analyzing yesterday’s security incidents no longer enables experts to predict and prevent tomorrow’s attacks, which necessitates approaches that go far beyond identifying known threats.

Nevertheless, there are promising avenues: complex behavior matching can isolate threats based on the actions taken, while machine learning can help detect anomalies, prevent malware infections, discover signs of illicit activities, and protect assets from hackers. In turn, knowledge representation enables automated reasoning over network data, helping achieve cybersituational awareness. Bringing together contributions by high-caliber experts, this book suggests new research directions in this critical and rapidly growing field.


Cybersecurity Cybersituational Awareness Cyberthreat Intelligence Artificial Intelligence Machine Learning Formal Knowledge Representation Automated Reasoning

Editors and affiliations

  • Leslie F. Sikos
    • 1
  1. 1.School of Information Technology and Mathematical SciencesUniversity of South AustraliaAdelaideAustralia

Bibliographic information