A Practical Privacy Preserving Protocol in Database-Driven Cognitive Radio Networks

Zeng, Y, Li, X, Yang, X, Xu, Q and Wang, D 2018, 'A Practical Privacy Preserving Protocol in Database-Driven Cognitive Radio Networks', in Australasian Conference on Information Security and Privacy, Wollongong, Australia, 11-13 July 2018, pp. 634-648.


Document type: Conference Paper
Collection: Conference Papers

Title A Practical Privacy Preserving Protocol in Database-Driven Cognitive Radio Networks
Author(s) Zeng, Y
Li, X
Yang, X
Xu, Q
Wang, D
Year 2018
Conference name Australasian Conference on Information Security and Privacy
Conference location Wollongong, Australia
Conference dates 11-13 July 2018
Proceedings title Australasian Conference on Information Security and Privacy
Publisher Springer
Place of publication Wollongong, Australia
Start page 634
End page 648
Total pages 15
Abstract Cognitive radio technique is regarded as a promising way for allowing secondary users (SUs) to access available channels without introducing the interference to the primary users (PUs). However, database-driven cognitive radio networks (CRNs) are facing a series of security and privacy threats, especially the privacy breaches of SUs. To address this issue, this paper proposes a practical privacy-preserving protocol for database-driven CRNs that allows SUs to get the available channels in their vicinity efficiently while protecting their privacy. Our protocol takes advantage of modular square root technique to verify the identity of a SU and enables a legitimate SU to obtain the available channel without leaking its privacy. By prefetching channels, our protocol reduces the latency of obtaining available channels for SUs. Besides, the proposed protocol provides strong privacy preservation that the database cannot trace any SUs and get nothing about location or identity information of SUs, even the database colludes with all base stations. The results of security analysis and performance evaluation indicate the feasibility and practicality of the proposed privacy-preserving protocol.
Subjects Data Encryption
Networking and Communications
DOI - identifier 10.1007/978-3-319-93638-3_36
Copyright notice © Springer International Publishing AG, part of Springer Nature 2018.
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