An analytical model for inference attacks on the incumbent's frequency in spectrum sharing

Abstract

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.