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Telecommunication Systems

Achieving privacy protection for crowdsourcing application in edge-assistant vehicular networking

  • 08-05-2020
Published in:
Authors
Hui Li
Lishuang Pei
Dan Liao
Ming Zhang
Du Xu
Xiong Wang
Published in
Telecommunication Systems | Issue 1/2020

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Abstract

Crowdsourcing application, deemed as a key evolution on the way to vehicular networking, has great potential to provide real-time services. However, existing cloud-based vehicular networking cannot support real-time data transmission with wasting massive bandwidth resources. This paper studies the crowdsourcing application in edge-assistant vehicular networking. To improve the real-time demand of data transmission, we propose the E-node of that owns the learning and semantic analysis abilities. Then we analyze two data transmission scenarios of crowdsourcing for collected data: road map uploading, traffic accident and traffic flow. On the other hand, to address the privacy leakages in the process of data aggregation and data distribution, we separately design time-tolerance anonymous privacy protection algorithm and k − 1 location-offset privacy protection algorithm. Finally, we conduct extensive experiments to verify the effectiveness of our proposed privacy protection algorithms, including time delay, offset probability, privacy leakage probability and accuracy.

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next article Device-free passive wireless localization system with weighted transferable discriminative dimensionality reduction method
Title
Achieving privacy protection for crowdsourcing application in edge-assistant vehicular networking
Authors
Hui Li
Lishuang Pei
Dan Liao
Ming Zhang
Du Xu
Xiong Wang
Publication date
08-05-2020
Publisher
Springer US
Published in
Telecommunication Systems / Issue 1/2020
Print ISSN: 1018-4864
Electronic ISSN: 1572-9451
DOI
https://doi.org/10.1007/s11235-020-00666-w
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