Artificial Intelligence and Deep Learning for Computer Network Management and Analysis Chapman & Hall/Distributed Computing and Intelligent Data Analytics Series

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.

1. Deep Learning in traffic management: Deep traffic analysis of secure DNS. 2. Machine Learning based Approach for Detecting Beacon Forgeries in Wi-Fi Networks. 3. Reinforcement learning-based approach towards switch migration for load balancing in SDN. 4. Green Corridor over a Narrow Lane: Supporting High Priority Message Delivery through NB-IoT. 5. Vulnerabilities Detection in Cyber Security using Deep Learning based Information Security and Event Management. 6. Detection and Localization of Double Compressed Forged Regions in JPEG Images using DCT Coefficients and Deep Learning based CNN.

Dr. Sangita Roy is currently working as an Assistant Professor at the Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India. She did her postdoc (on sabbatical) at the Department of Electrical Engineering, Tel Aviv University, Israel. She received her B.Tech from West Bengal University of Technology and M.Tech from Kalinga Institute of Industrial Technology, Odissa. She did her PhD from IIT Patna. Her research interests include Computer Network, Network Security, Image Processing and Deep Learning, IoT and BlockChain.

Dr. Rajat Subhra Chakraborty is currently an Associate Professor at CSE Department of IIT Kharagpur. He received his Ph.D. from Case Western Reserve University (U.S.A.) and B.E. from Jadavpur University. He has professional experience of working at National Semiconductor (Bangalore, India) and Advanced Micro Devices (AMD) (Santa Clara, USA). His research interests include Hardware Security, VLSI Design and Design Automation, Digital Content Protection and Digital Image Forensics. He holds 2 Granted U.S. patents, and has co-authored 6 books, 8 book chapters, and over 120 publications in international journals and conferences. His work has received close to 6000 citations till date, and a paper co-authored by him won the Best Paper Award at the IWDW'16 workshop. He has received several prestigious national and international awards such as IIT Kharagpur Outstanding Faculty Award (2018), IEI Young Engineers Award (2016), IBM Shared University Research (SUR) Award (2015), Royal Academy of Engineering (U.K.) RECI Fellowship (2014) and IBM Faculty Award (2012). He is currently an Associate Editor of IEEE TCAD journal. Dr. Chakraborty is a Senior Member of IEEE and a Senior Member of ACM.

Dr. Jimson Mathew is currently an Associate Professor and Head of the Department in the Computer Science and Engineering, Indian Institute of Technology Patna, India. He r