國立虎尾科技大學 |

WiFi signal-based user authentication

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	WiFi signal-based user authentication/ by Jiadi Yu, Hao Kong, Linghe Kong.
作者:	Yu, Jiadi.
其他作者:	Kong, Linghe.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	ix, 96 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Special Purpose and Application-Based Systems. -
電子資源:	https://doi.org/10.1007/978-981-99-5914-3
ISBN:	9789819959143

WiFi signal-based user authentication
Yu, Jiadi.

WiFi signal-based user authentication[electronic resource] /by Jiadi Yu, Hao Kong, Linghe Kong. - Singapore :Springer Nature Singapore :2023. - ix, 96 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5776. - SpringerBriefs in computer science..

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.

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 key issues 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.

ISBN: 9789819959143

Standard No.: 10.1007/978-981-99-5914-3doiSubjects--Topical Terms:

669833
Special Purpose and Application-Based Systems.

LC Class. No.: TK5103.2 / .Y84 2023

Dewey Class. No.: 005.8

WiFi signal-based user authentication
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