Achieving Effective k -Anonymity for Query Privacy in Location-Based Services

Location-based services (LBS) leveraged by ubiquitous mobile devices have brought great convenience to mobile users in various aspects, including communication, information exchange, social activities, and so on. However, privacy concerns arise at the same time, since the users need to submit their...

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Veröffentlicht in:	IEEE access 2017-01, Vol.5, p.24580-24592
Hauptverfasser:	Wang, Jinbao, Li, Yingshu, Yang, Donghua, Gao, Hong, Luo, Guangchun, Li, Jianzhong
Format:	Artikel
Sprache:	eng
Schlagworte:	<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">k -anonymity Algorithms Bars Conditional probability Data exchange Electronic devices Entropy Leakage Location based services location-based service Measurement Mobile radio mobility management Privacy Probabilistic logic Queries query privacy Servers Statistical analysis
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