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Artificial Intelligence in Cyber Security: Theories and Applications 2023 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 138 pages, height x width: 235x155 mm, 33 Illustrations, color; 10 Illustrations, black and white; X, 138 p. 43 illus., 33 illus. in color., 1 Paperback / softback
  • Sērija : Intelligent Systems Reference Library 240
  • Izdošanas datums: 07-Oct-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031285832
  • ISBN-13: 9783031285837
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 136,16 €*
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  • Standarta cena: 160,19 €
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Artificial Intelligence in Cyber Security: Theories and Applications 2023 ed.Palielināt
  • Formāts: Paperback / softback, 138 pages, height x width: 235x155 mm, 33 Illustrations, color; 10 Illustrations, black and white; X, 138 p. 43 illus., 33 illus. in color., 1 Paperback / softback
  • Sērija : Intelligent Systems Reference Library 240
  • Izdošanas datums: 07-Oct-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031285832
  • ISBN-13: 9783031285837
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031285837.html
Keywords:
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. 
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.