Abstract
Database driven dynamic spectrum sharing is one of the most promising dynamic spectrum access (DSA) solution to address the spectrum scarcity issue. In such a database driven DSA system, the centralized spectrum management infrastructure, called spectrum access system (SAS), makes its spectrum allocation decisions to secondary users (SUs) according to sensitive operational data of incumbent users (IUs). Since both SAS and SUs are not necessarily fully trusted, privacy protection against untrusted SAS and SUs become critical for IUs that have high operational privacy requirements. To address this problem, many IU privacy preserving solutions emerge recently. However, there is a lack of understanding and comparison of capability in protecting IU operational privacy under these existing approaches. In this paper, thus, we fill in the void by providing a comparative study that investigates existing solutions and explores several existing metrics to evaluate the strength of privacy protection. Moreover, we propose two general metrics to evaluate privacy preserving level and evaluate existing works with them.
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Notes
- 1.
There are three equivalent definitions proposed in [1], and in this paper we show the third one.
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Acknowledgements
This work was partially sponsored by NSF through grants 1547366, 1265886, 1547241, 1563832, and 1642928.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Li, H., Yang, Y., Dou, Y., Lu, C., Zabransky, D., Park, JM.(. (2019). Comparison of Incumbent User Privacy Preserving Technologies in Database Driven Dynamic Spectrum Access Systems. In: Moerman, I., Marquez-Barja, J., Shahid, A., Liu, W., Giannoulis, S., Jiao, X. (eds) Cognitive Radio Oriented Wireless Networks. CROWNCOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 261. Springer, Cham. https://doi.org/10.1007/978-3-030-05490-8_6
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