Resource Discovery, Navigability and Trust Management Techniques for IoT and SIoT

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Venugopal K R Roopa M S

Resource Discovery, Navigability and Trust Management Techniques for IoT and SIoT

Venugopal K R, Roopa M S, Santosh Pattar

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English

Chapman & Hall/CRC
22 October 2024

Automatic control engineering; Computer programming & software development; Databases; Computer architecture & logic design; Artificial intelligence

A ready reference for the next-generation discovery techniques, this book presents advanced research findings on resource discovery, network navigability, and trust management on the Internet of Things (IoT) and Social Internet of Things (SIoT) ecosystems. It discusses the benefits of integrating social networking concepts into the Internet of Things to find the preferable, reliable, scalable, and near-optimal detection of things or services. It explores the concepts of the Social Internet of Things in different domains of IoT, such as the Internet of Vehicles and the Industrial Internet of Things. This book works to recognize and respond to user queries and improve service provisioning, find the optimal solution for the link selection in the SIoT structure, develop large-scale platforms, and provide a smart mechanism for trust evaluation.

· Covers the rapid advancements in low-cost sensor manufacturing, communication protocols, embedded systems, actuators, and hardware miniaturization that have contributed to the exponential growth of the IoT

· Presents the fundamentals of a search system for sensor search and resource discovery in an IoT ecosystem

· Includes the applicability of different search techniques across several application domains of the IoT under various use case scenarios

· Discusses the thrust areas in SIoT (service discovery and composition, network navigability, relationship management, and trustworthiness management) and presents several prerequisites, challenges, and use case scenarios

· Provides insights into current challenges in the domains of Internet of Things and Social Internet of Things

This book will be helpful to researchers, scholars, and postgraduate students in Computer Science and Information Technology departments.

By: Venugopal K R, Roopa M S, Santosh Pattar
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 254mm, Width: 178mm,
Weight: 807g
ISBN: 9781032643267
ISBN 10: 1032643269
Pages: 352
Publication Date: 22 October 2024
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Part I Searching Techniques for the IoT Resources 1. IoT Resource Discovery Fundamentals 2. Progressive Search Algorithm for Service Discovery in an IoT Ecosystem 3. Hybrid Data AggregationTechnique to Improvise Location-aware Service Provisioning 4. Context-oriented Fuzzy based Search System for the IoT 5. IoT Resource Classification and Search Technique based on Deep Learning Models 6. Device Discovery Techniques for Industrial IoT through Predictive Analytic Mechanism 7. Context-oriented Service Inquisition Framework for Intelligent Transport System 8. Anonymization Framework for IoT Search based on Edge Centric Privacy Model 9. Multi-modal Multilevel Fog Indexer for Search in IoT Part II Social Internet of Things (SIoT) 10. Social Internet of Things (SIoT) Fundamentals 11. Relationship Creation and Management in Social Internet of Things 12. Network Link Selection in Social Internet of Things using Random Forest Algorithm 13. DTCMS: Dynamic Traffic Congestion Management in Social Internet of Vehicles 14. Social Internet of Things for Predictive Maintenance in Industrial Internet of Things 15. Trust Management in Social Internet of Things 16. Index

Dr. Venugopal K R is the former Vice Chancellor of Bangalore University. He holds eleven degrees, including a Ph.D. in Computer Science Engineering from IIT-Madras, Chennai and a Ph.D. in Economics from Bangalore University. He also has degrees in Law, Mass Communication, Electronics, Economics, Business Finance, Computer Science, Public Relations and Industrial Relations. He has authored and edited 86 books and published more than 1207 papers in refereed international journals and international conferences and has 40 patents to his credit. Dr. Venugopal was a postdoctoral research scholar at the University of Southern California, USA. He has been conferred with IEEE fellow and ACM Distinguished Educator for his contributions to computer science engineering and electrical engineering education. Roopa M S is an Associate Professor at Nitte Meenakshi Institute of Technology, Bengaluru, India. She received her Bachelor of Engineering degree in Medical Electronics from the M S Ramaiah Institute of Technology, Visvesvaraya Technological University, Bengaluru, India, and the Master of Engineering degree in Information Technology from University Visvesvaraya College of Engineering, Bangalore University, Bengaluru. She holds her Ph.D. in Computer Science and Engineering from Bangalore University. Her research interests include the Social Internet of Things, Cyberbullying, Multivariate Time Series Analysis, Machine Intelligence, and Web Mining. Santosh Pattar received the Bachelor of Engineering degree in computer science from the RNS Institute of Technology, Visvesvaraya Technological University, Bengaluru, India, in 2012 and the Master of Engineering degree in bioinformatics from the University Visvesvaraya College of Engineering, Bangalore University, Bengaluru, in 2015, where he is currently pursuing the Ph.D. degree in computer science. His current research interests include the Internet of Things, with a focus on device search and discovery techniques, deep learning, and bioinformatics. Santosh Pattar received the Bachelor of Engineering degree in computer science from the RNS Institute of Technology, Visvesvaraya Technological University, Bengaluru, India, in 2012 and the Master of Engineering degree in bioinformatics from the University Visvesvaraya College of Engineering, Bangalore University, Bengaluru, in 2015, where he is currently pursuing the Ph.D. degree in computer science. His current research interests include the Internet of Things, with a focus on device search and discovery techniques, deep learning, and bioinformatics.