About the Book
This book explores the security and privacy challenges associated with real-time applications of the Internet of Things (IoT) and wireless sensor networks (WSN) technologies. It provides detailed insights into the unique security and privacy concerns, such as malicious attacks, data breaches, insider threats, and privacy breaches, that arise in the context of real-time applications, like in smart homes, smart cities, industrial automation, healthcare, and other time-sensitive domains to offer practical solutions and strategies to mitigate these risks.
Covers various aspects of security and privacy, including authentication, access control, data integrity, confidentiality, availability, threat detection and mitigation, privacy-preserving techniques
Investigates the possibilities of cross-layer approaches to address the specific requirements of real-time applications and develop innovative solutions
Gaining insights into fundamental limits through information-theoretic research, new protocol designs are developed to access the medium in an energy-efficient manner to improve the performance and reliability of WSN and IoT networks for real-time applications
Discusses the sustainable requirements of emerging real-time applications, such as low energy consumption and high data rates
Offers an interdisciplinary approach that encompasses areas of communication, networking, and information theory to guide real-life deployment of IoT/ WSN-based monitoring systems
It is a valuable reference for readers who want to gain a deeper understanding of the challenges and solutions related to the security and privacy of IoT and WSN in the context of real-time applications.
Table of Contents:
Chapter 1 – Introduction of Security and Privacy Issues for IoT and WSN. Chapter 2 – Systematic Literature Review on Security and Privacy Issues on WSN and IoT. Chapter 3 – Cyber Security Concerns of IoT for Real-Time Applications: A Review. Chapter 4 – Security Concerns of IoT/WSN for Real-Time Applications. Chapter 5 – Security and Privacy Issues for Blockchain Scenarios in IoT and WSN-based Real-Time Applications. Chapter 6 – Congestion-Aware and Delay-Aware Application-Specific Security Protocol for WSN/IoT. Chapter 7 – Security Concerns of IoT in Health Monitoring Applications. Chapter 8 – Proactive Security Approaches for IoT in Health Monitoring Applications. Chapter 9 – CEIDS - Cost-effective and Energy-effective Intrusion Detection System in WSN. Chapter 10 – Mathematics and Queue Discipline – An Approach to Online Examination Data Security. Chapter 11 – Trust-Based Optimization Routing Algorithm for Wireless Sensor Networks Using Enhanced M-TCAAA Technique. Chapter 12 – Future Scope for Integration of IoT/WSN with Upcoming Wireless Technology. Chapter 13 – Securing the Future: Navigating Privacy Challenges in Real-Time IoT and WSN Applications.
About the Author :
Manoj Tolani earned a B.Tech from IIMT Engineering College, Meerut, India, in 2010, an M.Tech from Madan Mohan Malviya University of Technology, Gorakhpur, India, in 2012 from the Department of Electronics and Communication Engineering. He earned his Ph.D. from the Department of Electronics and Communication Engineering, Indian Institute of Information Technology Allahabad, India. He was an Assistant Professor at PSIT College of Engineering, Kanpur, from 2012 to 2015. He was engaged as a teaching cum research associate (TRA) in the Department of ECE, IIIT- Allahabad, in 2020. Later he was at the Atria Institute of Technology, Bangalore, as Assistant Professor (Research) from 2021 to 2023. Currently, he is an Assistant Professor at Manipal Institute of Technology, Manipal Academy of Higher Educations, Manipal Campus. His research interests include wireless sensor network, Internet of Things, and photonics. He has published 33 journal and conference papers (23 Science Citation Index (SCI) journals, two international conferences).
Arun Balodi is a Senior Member IEEE, Fellow IETE, Life Member ISTE is currently Professor and Chairman at the Department of Electronics and Communication Engineering, Dayananda Sagar University in Bangalore, India. Dr. Arun completed his Ph.D. from the Department of Electrical Engineering, Indian Institute of Technology, Roorkee, India, 2018, M.Tech. in Digital Signal Processing, from Govind Ballabh Pant Engineering College, Pauri, India, 2010, and B.Tech. in Electronics and Communication Engineering from the Uttar Pradesh Technical University, Lucknow, India, 2005. He was awarded the Gold Medal in M. Tech and Academic Excellence Award in 2010 and 2011. His research interests span biomedical signal and image processing and artificial intelligence. Dr. Arun has more than 15 years of teaching and research experience in various institutions in India. His research areas are Digital signal and image processing, medical image analysis, machine learning, and pattern recognition. He has published over 42 papers in peer- reviewed journals, international conferences, and holds three patents. He is an active researcher and reviewer for various indexed journals and conferences and has given various technical talks. He has actively participated in more than 34 Faculty Development Programs (FDPs) and more than 100 webinars and conducted workshops in the domain of signal and image processing. He has delivered expert talks in more than 21 short term programs (STPs), conferences, and webinars. Dr. Balodi received a certificate of appreciation and research incentive for his research contribution in publishing journal papers, patents, book chapters, and international conference papers in the years 2020 and 2021 from Atria Institute of Technology, Bengaluru. He also received the research excellence award and incentive for research contribution for publishing journal papers, patents, book chapters, and international conference and editing one international book in the academic year 2022-23.
Dr. Balodi received a certificate of appreciation and research incentive for his research contribution in publishing journal papers, patents, book chapters, and international conference papers in the years 2020 and 2021 from Atria Institute of Technology, Bengaluru. He also received the research excellence award and incentive for research contribution for publishing journal papers, patents, book chapters, and international conference and editing one international book in the academic year 2022/23.
Ambar Bajpai is an associate professor at GITAM (deemed- to- be) University, Bangalore, India. His alma maters are Chulalongkorn University, Thailand and Birla Institute of Technology and Science, India. Dr. Ambar has more than 16 years of teaching and research experience in various institutions in India and abroad. Dr. Bajpai received various scholarships, mainly prestigious graduate school scholarships, 90th- year research scholarship, GATE, and overseas academic presentation scholarship during his Ph.D. and M.Eng. His areas of interest are iterative channel coding in 5G, Metaverse, and beyond and visible light communication. He has published more than 51 papers in peer- reviewed journals, international conferences, and book chapters and has delivered invited talks in India and abroad related to the broad domain of wireless communication. He has been volunteering in IEEE Bangalore section as an ExeCom Member, Founder Secretary in the Information Theory Society Chapter, treasurer, and ExeCom roles of various technical society chapters including IEEE SIGHT Bangalore Section.
Vishal Jain is a Professor in the Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, India. Before that, he worked as an Associate Professor at Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi. He has more than 18 years of experience in academics. He has earned degrees: Ph.D (CSE), M.Tech (CSE), MBA (HR), MCA, MCP, and CCNA. He has more than 2200 research citations with Google Scholar (h- index score 24 and i- 10 index 55) and has authored more than 150 research papers in professional journals and conferences. He has authored and edited more than 60 books (most of them are indexed at the Scopus) with various reputed publishers, including Elsevier, Springer, IET, Apple Academic Press, CRC, Taylor & Francis Group, Scrivener, Wiley, Emerald, NOVA Science, River Publishers, IGI- Global and Bentham Science. He has more than 200 Scopus publications. His research areas include machine learning, information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, sensor networks and network security. He received a Young Active Member Award for the year 2012・ 13 from the Computer Society of India, and Best Faculty Award for the year 2017 and Best Researcher Award for the year 2019 from BVICAM, New Delhi.
Piya Kovintavewat earned a B.Eng. degree (summa cum laude) from Thammasat University, Thailand, in 1994, an M.Sc. degree from the Chalmers University of Technology, Sweden, in 1998, and a Ph.D. degree from the Georgia Institute of Technology, USA, in 2004, all in electrical engineering. He is currently working with Nakhon Pathom Rajabhat University (NPRU). Prior to that, he worked as an engineer with Thai Telephone and Telecommunication Company, Thailand, from 1994 to 1997, and a research assistant with the National Electronics and Computer Technology Center, Thailand, in 1999. He also had work experiences with Seagate Technology, Pennsylvania, USA, in the summers of 2001, 2002, and 2004. His research interests include coding and signal processing as applied to digital data storage systems.
