Reinforcement learning-based sensitive semantic location privacy protection for VANETs

China Communications(2021)

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摘要
Location-based services (LBS) in vehicular ad hoc networks (VANETs) must protect users' privacy and address the threat of the exposure of sensitive locations during LBS requests. Users release not only their geographical but also semantic information of the visited places (e.g., hospital). This sensitive information enables the inference attacker to exploit the users' preferences and life patterns...
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关键词
semantic location,sensitivity,location-based services,VANET,differential privacy,reinforcement learning
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