Enabling Reputation and Trust in Privacy-Preserving Mobile Sensing
Enabling Reputation and Trust in Privacy-Preserving Mobile Sensing
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DOI：
10.1109/tmc.2013.150
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发表时间：
2014-12
影响因子：
7.9
通讯作者：
Xinlei Wang;Wei Cheng;P. Mohapatra;T. Abdelzaher
中科院分区：
文献类型：
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作者：
Xinlei Wang;Wei Cheng;P. Mohapatra;T. Abdelzaher
移动感知正在成为从移动用户收集信息并将任务外包给移动用户的流行范例。这些应用程序处理大量的个人信息，例如身份和位置。因此，我们需要更深入地关注隐私和匿名性。然而，需要数据源的知识来评估传感数据的可信度。匿名性和信任成为移动感知中两个相互冲突的目标。在本文中，我们提出了ArtSense框架来解决移动感知中的“无身份信任”问题。我们的方案由隐私保护来源模型、数据信任评估方案和匿名信誉管理协议组成。与其他最近的解决方案相比，我们的方案不需要可信的第三方，并且可以强制执行正面和负面信誉更新。在信任评估中，我们考虑了动态影响感知数据可信性的情境因素以及不同来源数据之间的相互支持和冲突。安全分析表明，ArtSense实现了我们想要的匿名性和安全目标。我们在Android上的原型实现表明，ArtSense在移动设备上的计算开销最小，仿真结果表明，ArtSense准确地捕获了参与者对信息的信任和声誉。
Mobile sensing is becoming a popular paradigm to collect information from and outsource tasks to mobile users. These applications deal with lot of personal information, e.g., identity and location. Therefore, we need to pay a deeper attention to privacy and anonymity. However, the knowledge of the data source is desired to evaluate the trustworthiness of the sensing data. Anonymity and trust become two conflicting objectives in mobile sensing. In this paper, we propose ARTSense, a framework to solve the problem of “trust without identity” in mobile sensing. Our solution consists of a privacy-preserving provenance model, a data trust assessment scheme and an anonymous reputation management protocol. In contrast to other recent solutions, our scheme does not require a trusted third party and both positive and negative reputation updates can be enforced. In the trust assessment, we consider contextual factors that dynamically affects the trustworthiness of the sensing data as well as the mutual support and conflict among data from difference sources. Security analysis shows that ARTSense achieves our desired anonymity and security goals. Our prototype implementation on Android demonstrates that ARTSense incurs minimal computation overhead on mobile devices, and simulation results justify that ARTSense captures the trust of information and reputation of participants accurately.