Enable privacy preservation for k-NN query in two-tiered wireless sensor networks
Enable privacy preservation for k-NN query in two-tiered wireless sensor networks
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DOI：
10.1109/icc.2015.7249326
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发表时间：
2015-06
期刊：
影响因子：
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通讯作者：
Hui Peng;Xiaoying Zhang;Hong Chen;Yao Wu;Juru Zeng;Deying Li
中科院分区：
文献类型：
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作者：
Hui Peng;Xiaoying Zhang;Hong Chen;Yao Wu;Juru Zeng;Deying Li
无线传感器网络是物联网的重要组成部分。在无线传感器网络中保护隐私和完整性是非常紧迫和具有挑战性的。为了解决这一问题，我们提出了一种高效且保护隐私的双层无线传感器网络k-NN查询协议PPKN。我们的建议防止攻击者获取用户发出的查询和传感器节点收集的数据的敏感信息，同时允许接收器验证结果是否有效。它通过构造特殊的代码提供查询和数据的机密性，通过数据之间的相关性提供完整性验证。此外，通过KNQ查询框架的实现，PPKN在查询响应和能耗方面也实现了高效率。最后，理论分析和实验结果表明，PPKN在隐私保护和查询效率方面具有很高的性能。
Wireless sensor network is an important part of the Internet of Things. Preservation of privacy and integrity in wireless sensor networks is extremely urgent and challenging. To address this problem, we propose PPKN, an efficient and privacy-preserving k-NN query protocol in two-tiered wireless sensor networks. Our proposal prevents adversaries from gaining sensitive information of both queries issued by users and data collected by sensor nodes while allows the sink to verify whether results are valid. It offers confidentiality of queries and data by constructing a special code, provides integrity verification by the correlation among data. Moreover, by the implementation of KNQ query framework, PPKN also achieves high efficient in query response and energy consumption. Finally, the theoretical analysis and experiment results show the high performance of PPKN in terms of privacy preservation and query efficiency.