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An Analytical Model for Inference Attacks on the Incumbent’s Frequency in Spectrum Sharing



Azza Ben Mosbah, Timothy Hall, Michael R. Souryal, Hossam Afifi


In spectrum sharing, incumbents with sensitive parameters require full protection of their operations. The incumbent’s protection includes the protection of its privacy (e.g., operational frequency) against inference attacks carried out by malicious authorized secondary users. In this paper, we develop an analytical model to analyze the vulnerability of the incumbent’s frequency to inference attacks and validate it by simulation. Specifically, we study random and ordered channel assignment schemes and compare results for both schemes.
Proceedings Title
IEEE Dynamic Spectrum Access Networks (DySPAN) Conference
Conference Dates
March 6-9, 2017
Conference Location
Baltimore, MD


3.5 GHz band, analytical evaluation, incumbent vulnerability, inference attack, privacy, spectrum sharing
Created March 6, 2017, Updated March 10, 2017