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Erschienen in:
2019 | OriginalPaper | Buchkapitel
SZ-SAS: A Framework for Preserving Incumbent User Privacy in SAS-Based DSA Systems
verfasst von : Douglas Zabransky, He Li, Chang Lu, Yaling Yang
Erschienen in: Cognitive Radio Oriented Wireless Networks
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Abstract
Dynamic Spectrum Access (DSA) is a promising solution to alleviate spectrum crowding. However, geolocation database-driven spectrum access system (SAS) presents privacy risks, as sensitive Incumbent User (IU) operation parameters are required to be stored by SAS in order to perform spectrum assignments properly. These sensitive operation parameters may potentially be compromised if SAS is the target of a cyber attack or SU inference attack. In this paper, we propose a novel privacy-preserving SAS-based DSA framework, Suspicion Zone SAS (SZ-SAS). This is the first framework which protects against both the scenario of inference attacks in an area with sparsely distributed IUs and the scenario of untrusted or compromised SAS. Evaluation results show SZ-SAS is capable of utilizing compatible obfuscation schemes to prevent the SU inference attack, while operating using only homomorphically encrypted IU operation parameters.