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Artificial Intelligence in Cyber Security: Theories and Applications
Details
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. ****
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031285837
- Genre Technology Encyclopedias
- Editor Tushar Bhardwaj, Himanshu Upadhyay, Tarun Kumar Sharma, Steven Lawrence Fernandes
- Lesemotiv Verstehen
- Anzahl Seiten 148
- Herausgeber Springer
- Größe H235mm x B155mm x T9mm
- Jahr 2024
- EAN 9783031285837
- Format Kartonierter Einband
- ISBN 3031285832
- Veröffentlichung 07.10.2024
- Titel Artificial Intelligence in Cyber Security: Theories and Applications
- Untertitel Intelligent Systems Reference Library 240
- Gewicht 236g
- Sprache Englisch