Achieving privacy protection for crowdsourcing application in edge-assistant vehicular networking
Achieving privacy protection for crowdsourcing application in edge-assistant vehicular networking
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DOI：
10.1007/s11235-020-00666-w
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发表时间：
2020-05
影响因子：
2.5
通讯作者：
Hui Li-;Lishuang Pei;D. Liao;Ming Zhang;Du Xu;Xiong Wang
中科院分区：
文献类型：
--
作者：
Hui Li-;Lishuang Pei;D. Liao;Ming Zhang;Du Xu;Xiong Wang
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 theE-nodeof 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 andk− 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.
