Artificial Intelligence and Deep Learning for Computer Network

Management and Analysis
1. Auflage 2024
ISBN: 978-1-032-46138-0
Verlag: Taylor & Francis Ltd

Buch, Englisch, 136 Seiten, Format (B × H): 235 mm x 156 mm, Gewicht: 228 g

Reihe: 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.

Zielgruppe

Academic, Postgraduate, Professional, and Undergraduate Advanced

Autoren/Hrsg.

Mazumdar, Arka Prokash

Roy, Sangita

Mathew, Jimson

Subhra Chakraborty, Rajat

Chakraborty, Sudeshna

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung

Inhaltsverzeichnis

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.

Über Autor(innen)

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 received the Masters in computer engineering from Nanyang Technological University, Singapore and the Ph.D. degree in computer engineering from the University of Bristol, Bristol, U.K. He has held positions with the Centre for Wireless Communications, National University of Singapore, Bell Laboratories Research Lucent Technologies North Ryde, Australia, Royal Institute of Technology KTH, Stockholm, Sweden and Department of Computer Science, University of Bristol, UK. He has published more than 100 articles in peer review journals and conferences. Also published multiple books and holds patents. His research interests include fault-tolerant computing, computer arithmetic, Machine Learning, and IoT Systems and cognitive radio systems.

Dr. Arka Prokash Mazumdar is currently working as an Assistant Professor at the Department of Computer Science and Engineering, Malaviya National Institute of Technology Jaipur, India. He received his B.E. from the University of Burdwan, Master’s from National Institute of Technology Durgapur, and Ph.D. from Indian Institute of Technology Patna. His research interests include Wireless Communication.

Dr. Sudeshna Chakraborty is Professor at School of Computer Science & Engineering at Galgotias University,Greater Noida. She is an experienced academician with over 17 years of versatile experiences in the field of Computer Science in industry and academics. She is M.Tech & PhD in Computer Science & Engineering with Semantic Web Engineering. She has acquired several other awards for Research Excellence, Distinguished faculty ,best Paper Presenter (IEI), Corona Warrior Teacher’s award Niti Ayog, Reviewer's committee, Session Chairs, and others. she has published 50+ research papers, 12 patent in the field of Robotic, solar energy & sensors, chaired IEEE conference in Paris ICACCE 2018 & keynote Speaker Springer conference in Tunisia ICS2A & Track Chair Smart Tecnologies and Artificial Intelligence spain. She has been instrumental in various Industrial Interfacing for Academic and Research at her previous assignments at various organizations (Sharda University, Greater Noida ,Manav Rachna University, Faridabad, Mumbai University, Lingaya's Vidyapeeth, Icfai National College & others). She is having 50+ publication in Scopus Indexed/SCI/High impact Journals and International Conferences and published 12 International Patents and 2 copyrights. Dr. Sudeshna is guiding various PhD students of various Universities. She has successfully guided 5 Ph.D, many PG and UG students, nevertheless she was contributory in various prestigious Accreditations like NAAC, NBA, QAA, WASC, UGC, IAU, IET and others. She is an active member of professional society like IEEE (USA), IEI and Academic Partner of Institute of Engineers & done projects with MITEty and other professional societies. She publishers and editorial board member and series Editor of many renowned Books & journal as AAP CRC, IJASRW, IJRPES, IJEMR & reviewer of several prestigious Journals/Transactions like IEEE Transactions and many SPRINGER/other Scopus indexed International Journals. Her research outlines emphasis on Semantic Web, Web Engineering and lexical Analyzer for language Synthesis.