Artificial Intelligence and Deep Learning for Computer Network

Management and Analysis

This reference text aims to systematically collect quality research spanning AI, ML and Deep Learning (DL) applications to diverse sub-topics of computer networks, communications, and security, under a single cover. It also aspires to provide more insights on the applicability of the theoretical similitudes.

Artificial Intelligence and Deep Learning for Computer Network: Management and Analysis aims to systematically collect quality research spanning AI, ML, and deep learning (DL) applications to diverse sub-topics of computer networks, communications, and security, under a single cover. It also aspires to provide more insights on the applicability of the theoretical similitudes, otherwise a rarity in many such books.

Features:

• A diverse collection of important and cutting-edge topics covered in a single volume
• Several chapters on cybersecurity, an extremely active research area
• Recent research results from leading researchers and some pointers to future advancements in methodology
• Detailed experimental results obtained from standard data sets

This book serves as a valuable reference book for students, researchers, and practitioners who wish to study and get acquainted with the application of cutting-edge AI, ML, and DL techniques to network management and cyber security.

Contributor: Sangita Roy (Edited by), Rajat Subhra Chakraborty (Edited by), Jimson Mathew (Edited by), Arka Prokash Mazumdar (Edited by), Sudeshna Chakraborty (Edited by)

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