Artificial Intelligence in Cyber Security: Theories and Applications

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. 

Sommario

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.

Dettagli sul prodotto

• Con la collaborazione di: Tushar Bhardwaj (Editore), Steven Lawrence Fernandes (Editore), Tarun Kumar Sharma et al (Editore), Tarun Kumar Sharma (Editore), Himanshu Upadhyay (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 01.01.2024
• EAN: 9783031285837
• ISBN: 978-3-0-3128583-7
• Pagine: 138
• Dimensioni: 155 mm x 8 mm x 235 mm
• Peso: 236 g
• Illustrazioni: X, 138 p. 43 illus., 33 illus. in color.
• Serie: Intelligent Systems Reference Library
• Categoria: Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie