Z-O Encoding Based Privacy-preserving MAX/MIN Query Protocol in Two-tiered Wireless Sensor Networks
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摘要: 无线传感器网络中的隐私保护技术已经成为研究热点,其中具有隐私保护能力的最值查询处理技术已经成为富有挑战性的研究问题。该文提出一种基于Zero-One(Z-O)编码的两层WSNs隐私保护最值查询处理(ZOPPM)协议。该协议通过引入Z-O编码技术,并结合Hash消息身份验证编码机制,对感知数据进行编码处理,然后由感知节点将编码数据发送至存储节点,与此同时,感知节点根据存储节点需求计算并传送加密数据;存储节点利用Z-O编码的数值比较特性,实现在无需感知数据明文参与下的数值线性关系比较,进而构造局部查询结果并发送给Sink,由Sink完成最终的最值查询结果计算。理论分析和实验结果表明,ZOPPM协议能够确保感知数据和最值查询结果的隐私安全性,并且其能耗优于现有的方法。
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关键词:
- 两层WSNs /
- 隐私保护 /
- 最值查询 /
- Zero-One编码
Abstract: Privacy preservation in wireless sensor networks has attracted more and more attentions. Computing MAX/MIN query result in wireless sensor networks while preserving data privacy is a challenge. This paper proposes a Zero-One (Z-O) encoding based Privacy-Preserving MAX/MIN query protocol in two-tiered wireless sensor networks (ZOPPM). In ZOPPM, sensor nodes in the query range firstly convert their sensory data into encoded data, by using Z-O encoding and hashed message authentication code mechanism, and send the encoded data to the corresponding storage node, and encrypt sensory data and send the ciphertext to it in the demand. According to the numerical comparison theory of Z-O encoding method, every storage node generates a local MAX/MIN sensor node in its own query cell, without sensory data in plaintext. Then, the storage node constructs a local query result when receiving the encrypted data from a sensor node, and sends it to the sink node. Finally, the sink node calculates the MAX/MIN query result after receiving the local query result from all storage nodes. The theoretical analysis and experimental results show that the ZOPPM protocol can ensure the privacy of sensory data and the query result, and it costs less energy consumption than other similar method.
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