Title :
Enable privacy preservation for k-NN query in two-tiered wireless sensor networks
Author :
Peng, Hui ; Zhang, Xiaoying ; Chen, Hong ; Wu, Yao ; Zeng, Juru ; Li, Deying
Author_Institution :
Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education, Beijing, China
Abstract :
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.
Keywords :
Cryptography; Data privacy; Energy consumption; Privacy; Protocols; Storage management; Wireless sensor networks;
Conference_Titel :
Communications (ICC), 2015 IEEE International Conference on
Conference_Location :
London, United Kingdom
DOI :
10.1109/ICC.2015.7249326