As a privacy-preserving and illumination-robust manner, WiFi signal-based user authentication has become a new direction for ubiquitous user authentication to protect user privacy and security. It gradually turns into an important option for addressing the security concern of IoT environment.

However, due to the limited sensing capability of WiFi signals and wide application scenarios, WiFi signal-based user authentication suffers from practical issues of diversified behaviors and complex scenarios.

Therefore, it is necessary to address the issues and build integrated systems for user authentication using WiFi signals. In this book, the development and progress of WiFi signal-based user authentication systems in extensive scenarios are presented, which provides a new direction and solution for ubiquitous security and privacy protection. This book gives strong motivation of leveraging WiFi signals to sense human activities for user authentication, and presents the keyissues of WiFi-based user authentication in diversified behaviors and complex scenarios. This book provides the approaches for digging WiFi signals to sense human activities and extract features, realizing user authentication under fine-grained finger gestures, undefined body gestures, and multi-user scenarios. State-of-the-art researches and future directions involved with WiFi signal-based user authentication are presented and discussed as well. This book will benefit researchers and practitioners in the related field.

Provide readers new directions for ubiquitous security and privacy protection. Describe approaches for digging WiFi signals to sense human activities and extract features. Present extensive evaluations based on commercial off-the-shelf WiFi devices.

Autorentext
Dr. Hao Kong is currently an assistant professor in School of Computer Engineering and Science, Shanghai University. He received his Ph.D. degree in the Department of Computer Science and Engineering of Shanghai Jiao Tong University, in 2023. From February 2022 to February 2023, he visited the Broadband Communications Research (BBCR) Lab, Department of Electrical and Computer Engineering, University of Waterloo, Canada. His research focuses on Internet of Things, wireless sensing and mobile computing. He has published over 10 papers on high-reputation journals and conferences, including IEEE TMC, IEEE/ACM TON, IEEE COMST, ACM MobiSys, ACM MobiHoc, IEEE INFOCOM, etc., and one monograph. Dr. Jiadi Yu received the PhD degree in computer science from Shanghai Jiao Tong University, China, in Jun. 2007. After that, he was at Shanghai Jiao Tong University, China, (from Jul. 2007 to Jan. 2009) and Stevens Institute of Technology, USA, (from Feb. 2009 to Dec. 2011), respectively, as Postdoctoral research associate in computer science. And then, he joined Dept. of Computer Science and Engineering, Shanghai Jiao Tong University as assistant professor. He is currently an Associate Professor in Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China. Dr. Yu is an active and accomplished researcher in the field of Mobile Computing and Sensing, Cyber Security and Privacy, and Internet of Things. He has published more than 100 refereed paper including ACM MobiCom, ACM MobiSys, ACM MobiHoc, ACM UbiComp, IEEE INFOCOM, IEEE ICDCS, IEEE TMC, IEEE ToN, IEEE TPDS, etc. His works were reported in IEEE Xplore Innovation Spotlight, 2017, and IEEE Spectrum, 2019. He was Publicity Co-Chair of IEEE DySPAN 2019 and ACM WiSec 2019, and was TPC Member of IEEE INFOCOM(2016-2022), AAAI 2022, IEEE ICDCS 2022, IEEE ICPADS(2014, 2019 2020), etc.

Inhalt
Chapter 1.Overview.- Chapter 2. Finger Gesture-based Continuous User Authentication.- Chapter 3. Gesture-Independent User Authentication Using WiFi.- Chapter 4. Multi-User Authentication Using WiFi.- Chapter 5. State-of-Art Researches.- Chapter 6. Summary.