Editors:
- Presents recent research on Artificial Intelligence for Cyber Security
- Conducts analyses, implementation, and discussion of many tools of Artificial Intelligence, Machine Learning, Deep Learning, and Cyber Security for detecting malware, fraud, or intrusion
- Written by experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 972)
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Table of contents (18 chapters)
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Front Matter
About this book
This book provides stepwise discussion, exhaustive literature review, detailed analysis and discussion, rigorous experimentation results (using several analytics tools), and an application-oriented approach that can be demonstrated with respect to data analytics using artificial intelligence to make systems stronger (i.e., impossible to breach). We can see many serious cyber breaches on Government databases or public profiles at online social networking in the recent decade. Today artificial intelligence or machine learning is redefining every aspect of cyber security. From improving organizations’ ability to anticipate and thwart breaches, protecting the proliferating number of threat surfaces with Zero Trust Security frameworks to making passwords obsolete, AI and machine learning are essential to securing the perimeters of any business. The book is useful for researchers, academics, industry players, data engineers, data scientists, governmental organizations, and non-governmental organizations.
Editors and Affiliations
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Center of ICT/ICE, Covenant University, Ota, Nigeria
Sanjay Misra
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Vellore Institute of Technology, Chennai, India
Amit Kumar Tyagi
Bibliographic Information
Book Title: Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities
Editors: Sanjay Misra, Amit Kumar Tyagi
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-72236-4
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-72235-7Published: 01 June 2021
Softcover ISBN: 978-3-030-72238-8Published: 02 June 2022
eBook ISBN: 978-3-030-72236-4Published: 31 May 2021
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 467
Number of Illustrations: 86 b/w illustrations, 108 illustrations in colour
Topics: Computational Intelligence, Data Engineering, Artificial Intelligence