Artificial Intelligence and Deep Learning for Computer Network: Management and Analysis

Artificial Intelligence and Deep Learning for Computer Network: Management and Analysis is a comprehensive book that covers AI, ML, and DL applications to computer networks, communications, and security. It provides insights into the applicability of theoretical similitudes, offers a diverse collection of topics, and includes detailed experimental results from standard data sets. It is a valuable reference for students, researchers, and practitioners.

Format: Hardback
Length: 122 pages
Publication date: 28 June 2023
Publisher: Taylor & Francis Ltd

Artificial Intelligence and Deep Learning for Computer Network: Management and Analysis is a comprehensive and systematic effort to gather high-quality research on the applications of AI, ML, and deep learning (DL) to diverse sub-topics within computer networks, communications, and security. Its primary objective is to provide readers with a single source that covers a wide range of important and cutting-edge topics in these fields.

The book aims to offer valuable insights into the practical applications of theoretical similarities, which are often overlooked in similar publications. It includes several chapters dedicated to cybersecurity, a highly active and rapidly evolving research area. The book showcases recent research results from renowned researchers and provides pointers to future advancements in methodology. Furthermore, it includes detailed experimental results obtained from standard data sets, making it an invaluable resource for students, researchers, and practitioners interested in studying and gaining expertise in the application of cutting-edge AI, ML, and DL techniques to network management and cyber security.

The book is organized into several chapters, each covering a specific aspect of AI, ML, and DL in computer networks. The chapters are written by experts in the field and provide a comprehensive overview of the latest research trends and developments. The topics covered include network intrusion detection, traffic analysis, network security, machine learning algorithms for network optimization, and deep learning for image and video processing.

One of the key features of the book is its diverse collection of important and cutting-edge topics covered in a single volume. This makes it an ideal 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. The chapters are well-structured and easy to read, and they include detailed explanations, examples, and case studies to illustrate the practical applications of the discussed techniques.

Furthermore, the book includes recent research results from leading researchers in the field. These results provide valuable insights into the state-of-the-art techniques and methodologies used in AI, ML, and DL for computer network management and cyber security. The authors also offer some pointers to future advancements in methodology, which will be of interest to both researchers and practitioners.

In conclusion, Artificial Intelligence and Deep Learning for Computer Network: Management and Analysis is a valuable resource for anyone interested in studying and gaining expertise in the application of cutting-edge AI, ML, and DL techniques to network management and cyber security. The book offers a comprehensive and systematic coverage of important topics, recent research results, and practical applications, making it an essential tool for students, researchers, and practitioners in the field.

Weight: 410g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032079592