Edge Computing and Intelligence is a new technical discipline that researches anddevelops theories, methods, technologies, and application systems for providing the fastand efficient processing and intelligent decision using the big data generated from IoTsystem. Edge Computing and Intelligence enabled Internet of Thing (IoT) system helpsin alleviating the resource limitation of the IoT devices and facilities large scaledeployment of IoT system for different applications such smart city, smart grid, smarthome, smart healthcare system, smart video surveillance, e-healthcare etc. EdgeComputing based IoT architecture facilitates computational and storage resources atthe edge of the IoT system and helps in reducing the latency for end users. To facilitatean efficient processing and analysis of large amount of Big IoT data, AI techniques canbe used at edge of the IoT system to enhance the response time.Due to deployment of the IoT devices in open environment and its interaction withother IoT devices through unstable and unreliable wireless channel, and placement ofEdge nodes near to the IoT system, IoT devices will offer many chances for maliciousattackers to compromise them through collusion attacks, and DoS attacks, and manyother types of attacks. Thus, Analysis of the network traffic and IoT data at the Edgenodes with help of various latest AI techniques will address various issues such asanomaly detection in IoT data, data poisoning attacks, and other security and privacyissues of the IoT system. In this book, we will provide an overview of the fundamentalconcepts of Edge Computing, Edge intelligence using advance machine and deeplearning models, architecture of Edge computing based IoT system, and edgecomputing based cyber threat intelligence solutions for IoT systems.The main aim of the book is to systematically collect and present quality researchworks in recent trends in Edge Computing and Edge Intelligence for IoT system. Thisbook would emphasize and facilitate a greater understanding of various concepts suchas Edge Computing and Edge Intelligence, Edge Intelligence enabled security andprivacy approaches, application of the advance AI techniques such as machine/deeplearning, federated learning, for IoT data analytics and solving various issues of the IoTsystem. There are numerous challenges in the development of Edge computing,Artificial Intelligence (AI) and IoT-based Engineering Applications from the Securityand Privacy perspectives. This book will help in identifying areas where we are facingmany challenges and applying Edge Computing, advanced machine and deep learningtechniques for designing and development of Edge Computing based IoT system.
In this book, we will provide an overview of the fundamental concepts of Edge Computing, Edge intelligence using advanced machine and deep learning models, architecture of Edge computing based IoT system, and edge computing based cyber threat intelligence solutions for IoT systems.
Chapter
1. Edge Intelligence for IoT: Architecture, Issues, and
Applications
Chapter
2. Edge Intelligence based Internet of Medical Things: Architecture,
Issues, and
Case Studies
Chapter
3. Edge Intelligence based Intrusion Detection and Avoidance
Framework for
IoT Network
Chapter
4. Edge Intelligence based Anomaly Detection for IoT Network
Chapter
5. Edge Intelligence based Intelligent Transportation System
Chapter
6. Edge Intelligence and IoT-based Smart Agriculture System
Chapter
7. Edge Intelligence and Privacy Preservation Aware Intelligent Cyber
Threats
Detection Model
Chapter
8. Edge Intelligence and Deep Learning Approaches based data
analytics for
Fog-enabled IoT Network
Chapter
9. Edge Intelligence and Federated Learning based Healthcare Data
Analytics
Chapter
10. Edge Intelligence and Deep Reinforcement Learning based Big Data
Analytics
for IoT System
Chapter
11. Edge Intelligence and Privacy-aware Threat Intelligence for
Fog-enabled IoT
Network using big data approaches.
Chapter
12. Edge Intelligence and Blockchain-based security architecture for
Fog-enabled
IoT Systems
Chapter
13. Blockchain and Edge Intelligence based forensic evidence
preservation in
Fog-enabled IoT Systems
Chapter
14. Edge Intelligence based Botnet detection in Fog-enabled IoT
environments.
Chapter
15. Edge Intelligence based Data Analytics for Vehicular
Communication
Networks
Govind P. Gupta is currently working as an Associate Professor in the Dept. of IT, National Institute of Technology Raipur, India. He has received his PhD in computer science and engineering from the Indian Institute of Technology, Roorkee, India. He has more than 15 years of teaching and research experience. He has made practical and theoretical contributions in big data processing and analytics, Wireless Sensor Network (WSN), Internet of Things (IoT), and cyber security domains, and his research has a significant impact on big data analytics, WSN, IoT, information, and network security against cyberattacks. He has published more than 150 research papers in reputed peer-reviewed journals and conferences of international reputes. He has received several R&D projects from prestigious funding organizations such as SERB (MATRIX), SERB(CRG) and C3iHub (IIT Kanpur). He is an active reviewer of various journals such as IEEE Internet of Things, IEEE Sensors Journal, IEEE Transactions on Green Communications, Elsevier Computer Networks, Ad-Hoc Networks, Computer Communications, and Springer Wireless Networks. His current research interests include IoT, IoT security, Edge Intelligence, network security, big IoT data analytics, blockchain-based application development for IoT, and enterprise blockchain. Dr. Gupta was recently included in the Global Alper-Doger (AD) Scientific Index 2024 list. He was also included in the 2024, 2023, 2022, and 2021 Stanford University lists of Worlds Top 2% scientists. He is a professional member of the IEEE and ACM.
Prof. Brij B. Gupta is working as Director of International Center for AI and Cyber Security Research and Innovations, and Distinguished Professor with the Department of Computer Science and Information Engineering (CSIE), Asia University, Taiwan. In more than 20 years of his professional experience, he published over 600 papers in journals/conferences including 35 books and 12 Patents with over 35,000 citations. He has received numerous national and international awards including Canadian Commonwealth Scholarship (2009), Faculty Research Fellowship Award (2017), MeitY, GoI, IEEE GCCE outstanding and WIE paper awards and Best Faculty Award (2018 & 2019), respectively. Prof. Gupta was selected for Clarivate Web of Science Highly Cited Researchers in Computer Science (top 0.1% researchers in the world) consecutively in 2022 and 2023. He was also selected in Stanford Universitys ranking of the worlds top 2% scientists consecutively from 2019 to 2024. He is also a visiting/adjunct professor with several universities worldwide. Additionally, he is an IEEE Senior Member (2017) and was also selected as 2021 Distinguished Lecturer in IEEE CTSoc. Prof. Gupta was also a member of the Board of Governors, IEEE Consumer Technology Society (20222024). Prof. Gupta also leads IJSWIS, IJSSCI, and IJCAC as Editor-in-Chief. He also now serves as lead editor of a book series with CRC and IET press. He has been TPC member in more than 150 international conferences, and has been Associate/Guest Editor of various journals and publications. His research interests include information security, cyber physical systems, cloud computing, blockchain technologies, intrusion detection, AI, social media and networking.
Kumkum Garg obtained her bachelor of engineering (BE) and master of engineering (ME) from IIT Roorkee, India, and PhD from Imperial College of Science and Technology, University of London, UK. Her research interests are in computer networks, mobile computing, and AI. She has taught at the prestigious IIT Roorkee for 35 years. She has served as director at Manipal University and as the Dean, Faculty of Informatics, Photonics, and Robotics at Bhartiya Skill Development University, Jaipur, India. Currently, she is Honorary Professor at The North Cap University, Gurugram, India. She was awarded the Apple Distinguished Educator (ADE) and the Institution of Engineers (I) award. She has a patent for her work on mobile agent development, from the Government of India. She has also authored a book titled Mobile ComputingTheory & Practice, published by Pearson Education. Dr. Garg is Senior Member of IEEE, Fellow of Institution of Engineers (I), and Life Member of various professional societies. She has more than 47 years of experience in teaching and research and has over 135 research papers/publications in international and national journals and conferences.
Kwok Tai Chui received a BE in electronic and communication engineering with a business intelligence minor and PhD in electronic engineering from City University of Hong Kong. He has industry experience as a senior data scientist in an IoT company. He is with the Department of Technology, School of Science and Technology, at Hong Kong Metropolitan University as an assistant professor. He has more than 90 research publications, including edited books, book chapters, journal papers, and conference papers. He has served in various editorial positions in ESCI/SCIE-listed journals, including managing editor of the International Journal on Semantic Web and Information Systems, topic editor of Sensors, and associate editor of the International Journal of Energy Optimization and Engineering. His research interests include computational intelligence, data science, energy monitoring and management, intelligent transportation, smart metering, healthcare, machine learning algorithms, and optimization.
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