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首页> 外文期刊>IEEE transactions on dependable and secure computing >Privacy-Aware and Efficient Mobile Crowdsensing with Truth Discovery
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Privacy-Aware and Efficient Mobile Crowdsensing with Truth Discovery

机译：隐私感知和高效的移动众伴侣真相发现

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摘要

Truth discovery in mobile crowdsensing has recently received wide attention. It refers to the procedure for estimating the unknown user reliability from collected sensory data and inferring truthful information via reliability-aware data aggregation. Though widely studied in the plaintext domain, truth discovery remains largely under-explored in privacy-aware mobile crowdsensing. Existing works either do not consider user reliability issue or fall short of achieving practical cost efficiency, due to iterative transmission and computation over large ciphertexts from homomorphic cryptosystem. In this paper, we propose two new privacy-aware crowdsensing designs with truth discovery that significantly improve the bandwidth and computation performance on individual users. Our insight is to identify the core atomic operation in the iterative truth discovery procedure, and carefully craft security designs accordingly to enable efficient truth discovery in the ciphertext domain. Our first design is highly customized for the single-server setting, while our second design under the two-server model further shifts most of user workloads to the cloud server side. Both our designs protect individual sensory data and reliability degrees throughout the truth discovery procedure. Experiments show that compared with the prior result, our designs gain at least savings on user communication and computation, respectively.
机译：移动人群中的真相发现最近受到了广泛的关注。它指的是通过可靠性感知数据聚合来估计来自收集的感官数据和推断真实信息的未知用户可靠性的过程。虽然在明文领域普遍研究，但真理发现仍然在很大程度上在隐私感知移动众群体中探讨。由于迭代传输和来自同性恋密码系统的大密文，因此现有的作品不考虑用户可靠性问题或降低实现实用成本效率。在本文中，我们提出了两种新的隐私感知众多设计，具有真实性发现，可显着提高个人用户的带宽和计算性能。我们的洞察力是在迭代真理发现过程中识别核心原子操作，并相应地仔细制作安全设计，以便在密文域中实现有效的真理发现。我们的第一个设计高度自定义为单服务器设置，而两服务器型号下的第二种设计也将大多数用户工作负载转移到云服务器端。我们的设计均在整个真相发现过程中保护单独的感官数据和可靠度。实验表明，与先前结果相比，我们的设计分别至少节省了用户通信和计算。

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