On the Trade-Off Between Privacy and Information Quality in Location Based Services

Francesco Apollonio, Luca Bedogni, Giacomo Gori, A. Melis, M. Prandini
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Abstract

Location based services (LBS) are leveraged in everyday services and applications, as they can provide contextual and relevant information for the user needs. These services require the location of the user to be sent along with other relevant information, to provide the data in return that is relevant to the sent position. Although this opens up exciting scenarios for users, it has also been studied since it encompasses several potential privacy issues, which range from the re-identification of the user to the discovery of habits and routines. In this work, we present a study on the tradeoff between the information quality obtained from an LBS and the location precision sent by the user. Our results indicate that by sending out queries with imprecise location enhances the privacy of the users, while still providing a satisfactory quality of information.
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论基于位置的服务中隐私与信息质量之间的权衡
基于位置的服务(LBS)被广泛应用于日常服务和应用程序中,因为它们可以根据用户需求提供上下文相关信息。这些服务要求将用户的位置与其他相关信息一起发送,以提供与发送位置相关的数据。虽然这为用户开辟了令人兴奋的应用场景,但由于它包含几个潜在的隐私问题,从重新识别用户身份到发现用户的习惯和日常活动,因此也对其进行了研究。在这项工作中,我们对从 LBS 获取的信息质量与用户发送的位置精度之间的权衡进行了研究。我们的研究结果表明,通过发送不精确的位置查询可以提高用户的隐私保护,同时还能提供令人满意的信息质量。
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