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PUBLICATIONS

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

Published

Author(s)

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

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.
Proceedings Title
IEEE Dynamic Spectrum Access Networks (DySPAN) Conference
Conference Dates
March 6-9, 2017
Conference Location
Piscataway, NJ, US
Pub Type
Conferences

Download Paper

https://doi.org/10.1109/DySPAN.2017.7920770
Local Download

Keywords

3.5 GHz band, analytical evaluation, incumbent vulnerability, inference attack, privacy, spectrum sharing
Wireless (RF)

Citation

Ben Mosbah, A. , Hall, T. , Souryal, M. and Afifi, H. (2017), An Analytical Model for Inference Attacks on the Incumbent's Frequency in Spectrum Sharing, IEEE Dynamic Spectrum Access Networks (DySPAN) Conference, Piscataway, NJ, US, [online], https://doi.org/10.1109/DySPAN.2017.7920770, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=922777 (Accessed April 16, 2024)

Created March 5, 2017, Updated April 6, 2022