两层传感器网络中不可信数据存储的保隐私和保正确功能Top-k查询

Yao-Tung Tsou, Yung-Li Hu, Yennun Huang, S. Kuo
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引用次数: 5

摘要

本文提出了一种高效的机制,称为PCTopk,用于两层传感器网络中多条件/维度组合的功能top-k查询,同时保护数据的隐私性和正确性(即真实性和完整性)。PCTopk构建了分层认证树,配合保序对称加密技术,只允许存储节点系统地处理加密域内查询的数据,使查询者能够高效地验证查询结果的真实性和完整性。据我们所知,这是针对两层传感器网络中多条件组合的安全功能top-k查询问题的第一个研究工作。性能评估结果表明,与现有技术相比,PCTopk在保持数据隐私性和正确性的同时,能耗和存储空间显著降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PCTopk: Privacy-and Correctness-Preserving Functional Top-k Query on Un-trusted Data Storage in Two-Tiered Sensor Networks
This paper proposes an efficient mechanism, called PCTopk, for functional top-k query with a combination of multiple conditions/dimensions in two-tiered sensor networks to simultaneously preserve data privacy and correctness (i.e., authenticity and integrity). PCTopk constructs a layered authentication tree, cooperated with an order-preserving symmetric encryption technique, for only permitting storage nodes to systematically process inquired data over encryption domain and enabling querists to efficiently verify the authentic and complete query results. To the best of our knowledge, this is the first research work on the issue of secure functional top-k query with a combination of multiple conditions in two-tiered sensor networks. The performance evaluation results show that PCTopk takes significantly less energy consumption and storage space than prior arts while preserving data privacy and correctness.
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