A Private and Efficient Mechanism for Data Uploading in Smart Cyber-Physical Systems
A Private and Efficient Mechanism for Data Uploading in Smart Cyber-Physical Systems
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DOI：
10.1109/tnse.2018.2830307
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发表时间：
2020-04-01
影响因子：
6.6
通讯作者：
Zheng, Xu
中科院分区：
文献类型：
--
作者：
Cai, Zhipeng;Zheng, Xu
为了提供对物理世界不同维度的细粒度访问，智能网络物理系统中的数据上传在节能和隐私保护方面面临着新的挑战。对于参与者来说，在上传数据时尽可能少地消耗能量是至关重要的。然而，单纯追求能源效率可能会导致个人信息的极端泄露，尤其是当参与者上传的内容比以往任何时候都更有信息量的时候。在本文中，我们提出了一种智能网络物理系统中数据上传的新机制，该机制同时考虑了节能和隐私保护。该机制通过隐藏参与者的异常行为来保护隐私，同时通过引入可接受数量的额外内容来实现数据上传的节能方案。证明了最优上传方案的求解是np困难的。据此，提出了一种启发式算法，并对其有效性进行了分析。对实际数据集的评估结果表明，该算法的性能与最优结果相当。
To provide fine-grained access to different dimensions of the physical world, the data uploading in smart cyber-physical systems suffers novel challenges on both energy conservation and privacy preservation. It is always critical for participants to consume as little energy as possible for data uploading. However, simply pursuing energy efficiency may lead to extreme disclosure of private information, especially when the uploaded contents from participants are more informative than ever. In this article, we propose a novel mechanism for data uploading in smart cyber-physical systems, which considers both energy conservation and privacy preservation. The mechanism preserves privacy by concealing abnormal behaviors of participants, while still achieves an energy-efficient scheme for data uploading by introducing an acceptable number of extra contents. To derive an optimal uploading scheme is proved to be NP-hard. Accordingly, we propose a heuristic algorithm and analyze its effectiveness. The evaluation results towards a real-world dataset demonstrate that the performance of the proposed algorithm is comparable with the optimal results.