Privacy-preserving database assisted spectrum access: A socially-aware distributed learning approach

Mengyuan Zhang, Lei Yang, Dong Hoon Shin, Xiaowen Gong, Junshan Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, we study a privacy-preserving spectrum sharing system to protect secondary users' location privacy while enhancing spectrum access. The location privacy of secondary users can be compromised by an external adversary via the received signal strength (RSS)-based localization technique. To mitigate such privacy threat, we employ a random power perturbation approach that allows each secondary user to judiciously obfuscate the RSS captured by the adversary. While it can protect users' location privacy, the power perturbation approach would inevitably degrade the system performance and bring challenges to the design of the spectrum allocation algorithm. In this work, we adopt a socially-aware database assisted spectrum access system and cast the spectrum allocation under users' power perturbation as a stochastic channel selection game played among the users. To tackle the challenge brought by the privacy protection, we develop a two time-scale distributed learning algorithm, which is shown to converge almost surely to a socially-aware ε-Nash equilibrium. The numerical results show that the higher the privacy protection level is, the more significant the degradation of the network throughput would be.

Original languageEnglish (US)
Title of host publication2015 IEEE Global Communications Conference, GLOBECOM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479959525
DOIs
StatePublished - Feb 23 2016
Event58th IEEE Global Communications Conference, GLOBECOM 2015 - San Diego, United States
Duration: Dec 6 2015Dec 10 2015

Other

Other58th IEEE Global Communications Conference, GLOBECOM 2015
CountryUnited States
CitySan Diego
Period12/6/1512/10/15

Fingerprint

privacy
learning
Parallel algorithms
Learning algorithms
Throughput
Degradation
threat
performance

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Communication

Cite this

Zhang, M., Yang, L., Shin, D. H., Gong, X., & Zhang, J. (2016). Privacy-preserving database assisted spectrum access: A socially-aware distributed learning approach. In 2015 IEEE Global Communications Conference, GLOBECOM 2015 [7417426] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2014.7417426

Privacy-preserving database assisted spectrum access : A socially-aware distributed learning approach. / Zhang, Mengyuan; Yang, Lei; Shin, Dong Hoon; Gong, Xiaowen; Zhang, Junshan.

2015 IEEE Global Communications Conference, GLOBECOM 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 7417426.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhang, M, Yang, L, Shin, DH, Gong, X & Zhang, J 2016, Privacy-preserving database assisted spectrum access: A socially-aware distributed learning approach. in 2015 IEEE Global Communications Conference, GLOBECOM 2015., 7417426, Institute of Electrical and Electronics Engineers Inc., 58th IEEE Global Communications Conference, GLOBECOM 2015, San Diego, United States, 12/6/15. https://doi.org/10.1109/GLOCOM.2014.7417426
Zhang M, Yang L, Shin DH, Gong X, Zhang J. Privacy-preserving database assisted spectrum access: A socially-aware distributed learning approach. In 2015 IEEE Global Communications Conference, GLOBECOM 2015. Institute of Electrical and Electronics Engineers Inc. 2016. 7417426 https://doi.org/10.1109/GLOCOM.2014.7417426
Zhang, Mengyuan ; Yang, Lei ; Shin, Dong Hoon ; Gong, Xiaowen ; Zhang, Junshan. / Privacy-preserving database assisted spectrum access : A socially-aware distributed learning approach. 2015 IEEE Global Communications Conference, GLOBECOM 2015. Institute of Electrical and Electronics Engineers Inc., 2016.
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