Zhang Xiaoying, Dong Lei, Peng Hui, Chen Hong, Zhao Suyun, Li Cuiping
Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education, School of Information, Renmin University of China, Beijing 100872, China.
Sensors (Basel). 2014 Dec 11;14(12):23905-32. doi: 10.3390/s141223905.
Wireless sensor networks (WSNs) are indispensable building blocks for the Internet of Things (IoT). With the development of WSNs, privacy issues have drawn more attention. Existing work on the privacy-preserving range query mainly focuses on privacy preservation and integrity verification in two-tiered WSNs in the case of compromisedmaster nodes, but neglects the damage of node collusion. In this paper, we propose a series of collusion-aware privacy-preserving range query protocols in two-tiered WSNs. To the best of our knowledge, this paper is the first to consider collusion attacks for a range query in tiered WSNs while fulfilling the preservation of privacy and integrity. To preserve the privacy of data and queries, we propose a novel encoding scheme to conceal sensitive information. To preserve the integrity of the results, we present a verification scheme using the correlation among data. In addition, two schemes are further presented to improve result accuracy and reduce communication cost. Finally, theoretical analysis and experimental results confirm the efficiency, accuracy and privacy of our proposals.
无线传感器网络（WSN）是物联网（IoT）不可或缺的组成部分。随着无线传感器网络的发展，隐私问题受到了更多关注。现有的隐私保护范围查询工作主要集中在主节点受损情况下两层无线传感器网络中的隐私保护和完整性验证，但忽略了节点合谋的危害。在本文中，我们提出了一系列两层无线传感器网络中可感知合谋的隐私保护范围查询协议。据我们所知，本文首次在分层无线传感器网络中考虑范围查询的合谋攻击，同时实现隐私和完整性保护。为了保护数据和查询的隐私，我们提出了一种新颖的编码方案来隐藏敏感信息。为了保护结果的完整性，我们提出了一种利用数据间相关性的验证方案。此外，还进一步提出了两种方案来提高结果准确性并降低通信成本。最后，理论分析和实验结果证实了我们方案的效率、准确性和隐私性。
