TY - JOUR
T1 - Privacy-Preserving Crowdsourced Spectrum Sensing
AU - Jin, Xiaocong
AU - Zhang, Yanchao
N1 - Funding Information:
Manuscript received May 6, 2017; revised December 1, 2017 and February 28, 2018; accepted March 18, 2018; approved by IEEE/ACM TRANSACTIONS ON NETWORKING Editor X.-Y. Li. Date of publication April 20, 2018; date of current version June 14, 2018. This work was supported by the U.S. National Science Foundation under Grant CNS-1619251, Grant CNS-1514381, Grant CNS-1421999, and Grant CNS-1320906. A preliminary version of the content of this paper was presented in INFOCOM 2016 [1]. (Corresponding author: Yanchao Zhang.) X. Jin was with Arizona State University, Tempe, AZ 85287 USA. He is now with Google LLC, Mountain View, CA 94043 USA (e-mail: xcjin@asu.edu).
Publisher Copyright:
© 1993-2012 IEEE.
PY - 2018/6
Y1 - 2018/6
N2 - Dynamic spectrum access is promising for mitigating worldwide wireless spectrum shortage. Crowdsourced spectrum sensing (CSS) refers to recruiting ubiquitous mobile users to perform real-time spectrum sensing at specified locations and has great potential in mitigating the drawbacks of current spectrum database operations. Without strong incentives and location privacy protection in place, however, mobile users will be reluctant to act as mobile crowdsourcing workers for spectrum-sensing tasks. In this paper, we first formulate participant selection in CSS systems as a reverse auction problem, in which each participant's true cost for spectrum sensing is closely tied to his current location. Then, we demonstrate how the location privacy of CSS participants can be easily breached under the framework. Finally, we present PriCSS, a novel framework for a CSS service provider to select CSS participants in a differentially privacy-preserving manner. In this framework, we propose PriCSS- and PriCSS+, two different schemes under distinct design objectives and assumptions. PriCSS- is an approximately truthful scheme that achieves differential location privacy and an approximate minimum payment, while PriCSS+ is a truthful scheme that achieves differential location privacy and an approximate minimum social cost. The detailed theoretical analysis and simulation studies are performed to demonstrate the efficacy of both schemes.
AB - Dynamic spectrum access is promising for mitigating worldwide wireless spectrum shortage. Crowdsourced spectrum sensing (CSS) refers to recruiting ubiquitous mobile users to perform real-time spectrum sensing at specified locations and has great potential in mitigating the drawbacks of current spectrum database operations. Without strong incentives and location privacy protection in place, however, mobile users will be reluctant to act as mobile crowdsourcing workers for spectrum-sensing tasks. In this paper, we first formulate participant selection in CSS systems as a reverse auction problem, in which each participant's true cost for spectrum sensing is closely tied to his current location. Then, we demonstrate how the location privacy of CSS participants can be easily breached under the framework. Finally, we present PriCSS, a novel framework for a CSS service provider to select CSS participants in a differentially privacy-preserving manner. In this framework, we propose PriCSS- and PriCSS+, two different schemes under distinct design objectives and assumptions. PriCSS- is an approximately truthful scheme that achieves differential location privacy and an approximate minimum payment, while PriCSS+ is a truthful scheme that achieves differential location privacy and an approximate minimum social cost. The detailed theoretical analysis and simulation studies are performed to demonstrate the efficacy of both schemes.
KW - Crowdsourced spectrum sensing
KW - differential privacy
KW - location privacy
KW - mechanism design
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U2 - 10.1109/TNET.2018.2823272
DO - 10.1109/TNET.2018.2823272
M3 - Article
AN - SCOPUS:85045722723
SN - 1063-6692
VL - 26
SP - 1236
EP - 1249
JO - IEEE/ACM Transactions on Networking
JF - IEEE/ACM Transactions on Networking
IS - 3
ER -