Overview
- Presents state-of-the-art AI research on cybersecurity, cyberthreat intelligence, and cybersituational awareness
- Offers strategic defense mechanisms for malware, addresses cybercrime, and assesses vulnerabilities to yield proactive rather than reactive countermeasures
- Addresses aspects of processing security-related network data, utilizing social media and open data for intelligence gathering and data analytics, and real-life monitoring for vulnerability assessment
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 151)
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Table of contents (7 chapters)
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Front Matter
Keywords
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.
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: AI in Cybersecurity
Editors: Leslie F. Sikos
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-98842-9
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-319-98841-2Published: 27 September 2018
Softcover ISBN: 978-3-030-07539-2Published: 26 December 2018
eBook ISBN: 978-3-319-98842-9Published: 17 September 2018
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XVII, 205
Number of Illustrations: 20 b/w illustrations, 29 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Security