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Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities: Studies in Computational Intelligence, cartea 972

Editat de Sanjay Misra, Amit Kumar Tyagi
en Limba Engleză Hardback – iun 2021
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.

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Specificații

ISBN-13: 9783030722357
ISBN-10: 303072235X
Pagini: 467
Ilustrații: X, 467 p. 194 illus., 108 illus. in color.
Dimensiuni: 155 x 235 x 38 mm
Greutate: 0.84 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

A Deep Learning Framework to preserve Privacy in Federated (Collaborative) Learning.- Biometric Fingerprint Generation using Generative Adversarial Networks.- Assessing Cybersecurity Economic Risks in Virtual Power Plant UsingDeep Learning Techniques.- Biometric E-Voting System for Cybersecurity.- Proactive Network Packet Classification using Artificial Intelligence.- Security and Information Assurance for IoT-based Big Data.- Privacy Preservation Approaches for Social Network Data Publishing.

Textul de pe ultima copertă

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.


Caracteristici

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