Wireless Body Area Networks (WBANs) are vulnerable to cyberattacks and security breaches that could unlock the door for cybercriminals to penetrate hospital networks. This book covers the fundamental concepts of security and privacy in WBANs including security requirements, issues, and challenges.

Security, Privacy, and Trust in WBANs and E-Healthcare highlights the taxonomy of threats and attacks in WBANs and Internet of Medical Things (IoMT) and presents all technical aspects related to the security and privacy of WBANs. In addition to outlining viable solutions that take into account constrained resources at WBAN end-devices, hybrid network architecture, application characteristics, and communication protocols, the book covers the core concepts of WBAN security, privacy, and trust. It describes both theoretical and practical aspects for those working in security in the WBAN and IoMT, emphasizing the most significant potential WBAN security issues and challenges. The book also covers intrusion detection and security risk assessments in WBANs as well as lightweight security solutions for WBANs, blockchain-based solutions for WBANs, and authentication and access control in WBANs through various applications and case studies.

This book is highly relevant to the graduate/postgraduate students, academicians, security system designers, security analysts, computer scientists, engineers, researchers, digital forensic experts, and other personnel working in information security, IoMT, and WBAN.

Dr. Anuj Kumar Singh is working as Associate Professor in the Department of Computer Science and Engineering at Amity University, Madhya Pradesh, India. He has more than 20 years of teaching experience in technical education. He holds a PhD degree in the field of Computer Science and Engineering from Dr. A.P.J. Abdul Kalam Technical University, Lucknow. He passed MTech degree with First Distinction from Panjab University, Chandigarh, and BTech degree with First Honours from Uttar Pradesh Technical University, Lucknow, in Computer Science and Engineering. In addition to these, he has also qualified UGC NET. Having published more than 40 research papers in journals and conferences including SCIE and Scopus, he has also authored one book and edited five. He has also filed five patents. He has also supervised more than ten dissertations at postgraduation level. His areas of specialization include Intelligent Systems, Cryptography, Network and Information Security, Blockchain Technology, and Algorithm Design.

Dr. Sachin Kumar is an Associate Professor in the Akian College of Science and Engineering at American University of Armenia, Yerevan. Previously, he was a leading research fellow in the laboratory of Big Data and Machine Learning at South Ural State University, Chelyabinsk, Russia. He has around 16 years of teaching and research experience. He is actively engaged in teaching and research in the field of machine learning, natural language processing, smart healthcare etc. He is a senior member of IEEE, and member of ACM, IAENG etc. Additionally, he is an associate editor and reviewer in various journals. He has also delivered various keynote speeches in various conferences, workshops and events. He has also edited various books, and contributing in authored books. He has worked on various research grants as project leader and participant.