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008			231016s2023 si | fo |||| 0|eng d
020			_a9789819959143
024	7		_a10.1007/978-981-99-5914-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5103.2 _b2023 EB
100	1		_aYu, Jiadi _eautor _4http://id.loc.gov/vocabulary/relators/aut _9690095
245	1	0	_aWiFi signal-based user authentication _cby Jiadi Yu, Hao Kong, Linghe Kong
250			_a1st ed 2023
264		1	_aSingapore _bSpringer Nature _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aSpringerBriefs in Computer Science _x2191-5776
505	0		_aChapter 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.
520			_aAs 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.
988			_aSpringer_Computer_2023
650		7	_2embne _9158044 _aSistemas de comunicación inalámbricos
700	1		_9690096 _aKong, Hao _eautor
700	1		_9690097 _aKong, Linghe _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-5914-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2024 _dz _ean _zSI