CAP: A Context-Aware Privacy Protection System for Location-Based Services
CAP: A Context-Aware Privacy Protection System for Location-Based Services
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DOI：
10.1109/icdcs.2009.62
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发表时间：
2009-06
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影响因子：
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通讯作者：
Aniket Pingley;Wei Yu;Nan Zhang;Xinwen Fu;Wei Zhao
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文献类型：
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作者：
Aniket Pingley;Wei Yu;Nan Zhang;Xinwen Fu;Wei Zhao
我们解决与基于位置的服务 (LBS) 中的隐私保护相关的问题。该领域的大多数现有研究要么需要可信的第三方（匿名器），要么使用计算和通信成本高昂的不经意协议。我们的隐私保护技术设计的原则是不需要可信的第三方，同时在时间和空间复杂性方面保持高效。该问题有两个有趣且具有挑战性的特征：首先，隐私保护程度和 LBS 准确性取决于用户位置周围的环境，例如人口和道路密度。其次，攻击者可能通过两种方式侵犯用户的位置隐私：(i) 基于 LBS 查询有效负载中包含的用户位置信息，以及 (ii) 基于其设备的 IP 地址推断用户的地理位置。为了应对这些挑战，我们引入了 CAP，一种上下文感知的隐私保护 LBS 系统，具有数据隐私和通信匿名的集成保护。我们实施了 CAP 并将其与流行的 LBS 系统 Google 地图集成。理论分析和实验结果验证了CAP在隐私保护、LBS准确性和通信服务质量方面的有效性。
We address issues related to privacy protection in location-based services (LBS). Most existing research in this field either requires a trusted third-party (anonymizer) or uses oblivious protocols that are computationally and communicationally expensive. Our design of privacy-preserving techniques is principled on not requiring a trusted third-party while being highly efficient in terms of time and space complexities. The problem has two interesting and challenging characteristics: First, the degree of privacy protection and LBS accuracy depends on the context, such as population and road density, around a user's location. Second, an adversary may violate a user's location privacy in two ways: (i) based on the user's location information contained in the LBS query payload, and (ii) by inferring a user's geographical location based on its device's IP address. To address these challenges, we introduce CAP, a Context-Aware Privacy-preserving LBS system with integrated protection for data privacy and communication anonymity. We have implemented CAP and integrated it with Google Maps, a popular LBS system. Theoretical analysis and experimental results validate CAP's effectiveness on privacy protection, LBS accuracy, and communication Quality-of-Service.