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

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Misra, Sanjay (Editor), Kumar Tyagi, Amit (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Studies in Computational Intelligence, 972
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary: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 (id est, 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.
Physical Description:1 online resource (X, 467 pages 194 illustrations, 108 illustrations in color.)
ISBN:9783030722364
ISSN:1860-9503 ;
DOI:10.1007/978-3-030-72236-4