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

Azza Ben Mosbah; Timothy A. Hall; Michael Souryal; Hossam Afifi

doi:10.1109/DySPAN.2017.7920770

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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509028306
DOIs	https://doi.org/10.1109/DySPAN.2017.7920770
Publication status	Published - 5 May 2017
Event	2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017 - Baltimore, United States Duration: 6 Mar 2017 → 9 Mar 2017

Publication series

Name	2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017

Conference

Conference	2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017
Country/Territory	United States
City	Baltimore
Period	6/03/17 → 9/03/17

Keywords

3.5 GHz band
analytical evaluation
incumbent vulnerability
inference attack
privacy
spectrum sharing

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10.1109/DySPAN.2017.7920770

Cite this

Ben Mosbah, A., Hall, T. A., Souryal, M., & Afifi, H. (2017). An analytical model for inference attacks on the incumbent's frequency in spectrum sharing. In 2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017 Article 7920770 (2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DySPAN.2017.7920770

Ben Mosbah, Azza ; Hall, Timothy A. ; Souryal, Michael et al. / An analytical model for inference attacks on the incumbent's frequency in spectrum sharing. 2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017. Institute of Electrical and Electronics Engineers Inc., 2017. (2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017).

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title = "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.",

keywords = "3.5 GHz band, analytical evaluation, incumbent vulnerability, inference attack, privacy, spectrum sharing",

author = "\{Ben Mosbah\}, Azza and Hall, \{Timothy A.\} and Michael Souryal and Hossam Afifi",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017 ; Conference date: 06-03-2017 Through 09-03-2017",

year = "2017",

month = may,

day = "5",

doi = "10.1109/DySPAN.2017.7920770",

language = "English",

series = "2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017",

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Ben Mosbah, A, Hall, TA, Souryal, M & Afifi, H 2017, An analytical model for inference attacks on the incumbent's frequency in spectrum sharing. in 2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017., 7920770, 2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017, Baltimore, United States, 6/03/17. https://doi.org/10.1109/DySPAN.2017.7920770

An analytical model for inference attacks on the incumbent's frequency in spectrum sharing. / Ben Mosbah, Azza; Hall, Timothy A.; Souryal, Michael et al.
2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7920770 (2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Ben Mosbah, Azza

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N2 - 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.

AB - 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.

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KW - analytical evaluation

KW - incumbent vulnerability

KW - inference attack

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017

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Ben Mosbah A, Hall TA, Souryal M, Afifi H. An analytical model for inference attacks on the incumbent's frequency in spectrum sharing. In 2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7920770. (2017 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2017). doi: 10.1109/DySPAN.2017.7920770

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

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Keywords

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