Artificial intelligence in cyber security : theories and applications / Tushar Bhardwaj, Himanshu Upadhyay, Tarun Kumar Sharma, Steven Lawrence Fernandes, editors.
2023
QA76.9.A25
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Details
Title
Artificial intelligence in cyber security : theories and applications / Tushar Bhardwaj, Himanshu Upadhyay, Tarun Kumar Sharma, Steven Lawrence Fernandes, editors.
ISBN
9783031285813 (electronic bk.)
3031285816 (electronic bk.)
3031285808
9783031285806
3031285816 (electronic bk.)
3031285808
9783031285806
Published
Cham : Springer, [2023]
Copyright
©2023
Language
English
Description
1 online resource (x, 138 pages) : illustrations (some color).
Item Number
10.1007/978-3-031-28581-3 doi
Call Number
QA76.9.A25
Dewey Decimal Classification
005.8
Summary
This book highlights the applications and theory of artificial intelligence in the domain of cybersecurity. The book proposes new approaches and ideas to present applications of innovative approaches in real-time environments. In the past few decades, there has been an exponential rise in the application of artificial intelligence technologies (such as deep learning, machine learning, blockchain) for solving complex and intricate problems arising in the domain of cybersecurity. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. This book serves as a reference for young scholars, researchers, and industry professionals working in the field of Artificial Intelligence and Cybersecurity. .
Bibliography, etc. Note
Includes bibliographical references.
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Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Bhardwaj, Tushar, editor.
Upadhyay, Himanshu, editor.
Sharma, Tarun K., editor.
Fernandes, Steven L., editor.
Upadhyay, Himanshu, editor.
Sharma, Tarun K., editor.
Fernandes, Steven L., editor.
Series
Intelligent systems reference library ; v. 240.
Available in Other Form
ARTIFICIAL INTELLIGENCE IN CYBER SECURITY.
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Table of Contents
A Comprehensive Review On Cloud Security Using Machine Learning Techniques
Energy Enhanced Routing Protocol for Heterogeneous Networks using Artificial Intelligence
Integration of Machine Learning with Cybersecurity: Applications and Challenges
Deep Learning Approach for Detection of Fraudulent Credit Card Transactions.
Energy Enhanced Routing Protocol for Heterogeneous Networks using Artificial Intelligence
Integration of Machine Learning with Cybersecurity: Applications and Challenges
Deep Learning Approach for Detection of Fraudulent Credit Card Transactions.