Internet of Things (IoT): Key Digital Trends Shaping the Future

The book is a collection of high-quality research papers presented at 7th International Conference on Internet of Things and Connected Technologies (ICIoTCT 2022), held at Indian Institute of Technology (IIT) Patna, Bihar, India during 2930 September 2022. This book presents recent advances on IoT and connected technologies. This book is designed for marketing managers, business professionals, researchers, academicians, and graduate-level students seeking to learn how IoT and connecting technologies increase the amount of data gained through devices, enhance customer experience, and widen the scope of IoT analytics in enhancing customer marketing outcomes.

Presents recent advances on IoT and connected technologies Discusses the outcomes of ICIoTCT 2022, held in IIT Patna, Bihar, India Serves as a reference guide for researchers and practitioners in academia and industry

Auteur

Rajiv Misra is an Associate Professor of Computer Science and Engineering at the Indian Institute of Technology Patna, India. His research focuses in distributed systems, cloud computing, big data computing, consensus in blockchain, cloud IoT-edge computing, ad hoc networks, and sensor networks. He has contributed significantly to these research areas of distributed and cloud computing and published more than 80 papers in reputed journals and conferences, with an impact of 999 citations and an h-index of 14. Muttukrishnan Rajarajan is currently the Director of the Institute for Cyber Security at City University of London and carries out research in the areas of privacy preserving data management, Internet of Things privacy, network intrusion detection, cloud security and identity management using blockchain. Raj has received funding from EPSRC, Royal Academy of Engineering, European Commission, Innovate UK, British Council and industry to carry out research in cyber security. He has supervised several PhDs jointly with British Telecommunications, UK in the area if data analytics for cyber security and network intrusion detection.

Bharadwaj Veeravalli is currently with the Department of Electrical and Computer Engineering, Communications and Information Engineering (CIE) division, at The National University of Singapore, Singapore. His main stream research interests include cloud/grid/cluster computing (big data processing, analytics and resource allocation), scheduling in parallel and distributed systems, Cybersecurity, and multimedia computing. He is one of the earliest researchers in the field of Divisible Load Theory (DLT). He did PhD degree from the Indian Institute of Science, Bangalore, India. He received gold medals for his bachelor degree overall performance and for an outstanding PhD thesis (IISc, Bangalore India) in the years 1987 and 1994, respectively.

Nishtha Kesswani has received prestigious awards, including the UGC Raman Postdoctoral Fellowship tenable in USA and the Young Teacher Award. She received the M.Tech. degree from the Malaviya National Institute of Technology (MNIT). She has a vivid teaching experience at several reputed universities, including California State University at San Bernardino and the University of Ljubljana, Slovenia. She has visited more than 15 countries and delivered invited talks at several conferences and workshops. She is currently with the Central University of Rajasthan, India.

Ashok Patel is a faculty at computer and information science, at UMass Dartmouth USA. Before joining UMass, he taught at the Department of Computer Science of Florida Polytechnic University, USA. He primarily teaches cybersecurity courses and is researching an improved efficient fingerprint recognition algorithm and web usage mining. He's particularly interested in personalizing the web experience for users and individuals using IoT. He has nearly 30 years of teaching experience. Before immigrating to the United States, he was a professor in the Department of Computer Science at North Gujarat University in India.

Contenu
An Efficacious Classifier for Recognization of Traffic Symbols.- Assisted Living Robots: Discussion and Design of a Robot for Elder Care.- Localization Technologies.- A Comparative Study between Various Machine-Learning Algorithms Implemented for the Proper Detection of Fraudulent and Non-Fraudulent Transactions Through Credit Card.- Smart Grid and Energy Management System.- To Foresight and Formulate Development (FFD) of Robot of Things (RoT) and Drone of Things (DoT) for Revolutionizing Agriculture Ecosystem.- About a Practical Approach for Smart Building by using Internet of Things.- IoT Based Storage Management System.- Venture Analyzer.- Stress Reliving Application for Personal Wellbeing.- M-LENS AN IOT BASED DEEP LEARNING DEVICE.- Analysis of Electromagnetic Pollution in Buildings and Its Impact Specially on Human Health.- IoT-Based Smart Notice Board & Class Schedule Notification System with Real-Time Classroom Environment Monitoring Facility for Educational Institutions.-Affordable Smart Kit for Coconut Farm Management Using IoT.- Machine Learning based model to find out Firewall Decisions towards improving Cyber Defence.- Two Fold Extended Residual Network Based Super Resolution For Potato Plant Leaf Disease Detection.- Analyzing the tweets of the patients during COVID-19 pandemic using machine learning techniques.- Load profile oriented balanced Cluster Assignment in 5G IoT based sensor network.- KnowSOntoWSR: Web Service Recommendation System using Semantically Driven QoS Ontology Based Knowledge Centered Paradigm.- Secure Encryption Using Bit Shuffling.- Predictability of spells of maximum precipitation in the UP East region with Antarctic sea ice concentration forcing.- IoT-based Real-Time Water Quality Monitoring System using a RC Boat.- Tamil Language Automatic Speech Recognition based on Integrated Feature Extraction and Hybrid Deep Learning Model.- A Comprehensive Review of Conversational AI-based Chatbots: Types, Applications, and Future Trends.- Blockchain based Tourism Recommender System.- Quantum-defended Digital Signature on Lattice for IoT-enabled Systems.- Securing Digital Ownership using Non-Fungible Tokens(NFT), an application of BlockChain Technology.- Battery optimization of electric vehicles using battery management system.- Electronic voting machine as a service on the cloud - Azure for EVM (A4EVM).- Internet of Bio-Nano Things for Diabetes Telemedicine System with Secured Access. <p