PEAK: Privacy-Enhanced Incentive Mechanism for Distributed K-Anonymity in LBS

To motivate users' assistance for protecting others' location privacy by distributed K -anonymity in Location-Based Service (LBS), many incentive mechanisms have been proposed, where users obtain monetary compensation for their assistance. However, most existing distributed K -anonymity in...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering 2024-02, p.1-14
Hauptverfasser:	Zhang, Man, Li, Xinghua, Miao, Yinbin, Luo, Bin, Ren, Yanbing, Ma, Siqi
Format:	Artikel
Sprache:	eng
Schlagworte:	Distributed <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 game theory Hospitals incentive mechanisms Lakes location privacy location-based service Privacy Semantics Servers Threat modeling Trajectory
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