Visible to the public Privacy-Preserving and Multi-Dimensional Range Query in Two-Tiered Wireless Sensor Networks

TitlePrivacy-Preserving and Multi-Dimensional Range Query in Two-Tiered Wireless Sensor Networks
Publication TypeConference Paper
Year of Publication2017
AuthorsZeng, J., Dong, L., Wu, Y., Chen, H., Li, C., Wang, S.
Conference NameGLOBECOM 2017 - 2017 IEEE Global Communications Conference
KeywordsBiomedical monitoring, Collusion Attacks, composability, cryptographic protocols, cyclic modular verification scheme, data integrity, data privacy, differential attacks, generalized distance-based range query mechanism, Heart rate, Metrics, modular arithmetic range query mechanism, Monitoring, multidimensional range query protocol, network accountability, PERQ, privacy-preserving range query, probability attacks, Protocols, pubcrawl, query processing, resilience, Resiliency, sensor electronic devices, Silicon, two-tiered wireless sensor networks, Wireless sensor networks

With the advancement of sensor electronic devices, wireless sensor networks have attracted more and more attention. Range query has become a significant part of sensor networks due to its availability and convenience. However, It is challenging to process range query while still protecting sensitive data from disclosure. Existing work mainly focuses on privacy- preserving range query, but neglects the damage of collusion attacks, probability attacks and differential attacks. In this paper, we propose a privacy- preserving, energy-efficient and multi-dimensional range query protocol called PERQ, which not only achieves data privacy, but also considers collusion attacks, probability attacks and differential attacks. Generalized distance-based and modular arithmetic range query mechanism are used. In addition, a novel cyclic modular verification scheme is proposed to verify the data integrity. Extensive theoretical analysis and experimental results confirm the high performance of PERQ in terms of energy efficiency, security and accountability requirements.

Citation Keyzeng_privacy-preserving_2017