Studies in Computational Intelligence

Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities

Editors: Misra, Sanjay, Tyagi, Amit Kumar (Eds.)

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  • 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
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eBook 160,49 €
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  • ISBN 978-3-030-72236-4
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Hardcover 207,99 €
price for Spain (gross)
  • ISBN 978-3-030-72235-7
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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.

Table of contents (18 chapters)

Table of contents (18 chapters)
  • A Deep Learning Framework to Preserve Privacy in Federated (Collaborative) Learning

    Pages 1-28

    Ganesh, Sai (et al.)

  • Significance of Feature Selection and Pruning Algorithms in Machine Learning Classification of E-Mails

    Pages 29-50

    Bindu, V. (et al.)

  • Biometric Fingerprint Generation Using Generative Adversarial Networks

    Pages 51-83

    Ugot, Ogban-Asuquo (et al.)

  • Assessing Cybersecurity Economic Risks in Virtual Power Plant UsingDeep Learning Techniques

    Pages 85-104

    Sampath Kumar, V. (et al.)

  • Biometric E-Voting System for Cybersecurity

    Pages 105-137

    Aniche, Chijioke (et al.)

Buy this book

eBook 160,49 €
price for Spain (gross)
  • ISBN 978-3-030-72236-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 207,99 €
price for Spain (gross)
  • ISBN 978-3-030-72235-7
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

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
Series Volume
972
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-72236-4
DOI
10.1007/978-3-030-72236-4
Hardcover ISBN
978-3-030-72235-7
Series ISSN
1860-949X
Edition Number
1
Number of Pages
X, 467
Number of Illustrations
86 b/w illustrations, 108 illustrations in colour
Topics