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Secure Task Allocation Based on Anonymous Identity in Mobile Crowdsourcing
HE Yue,HUANG Qinlong,HUANG Qinlong,NIU Xin-Xin *,NIU Xin-Xin *
School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing 100876
*Correspondence author
#Submitted by
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Funding: National Natural Science Foundation of China (No.61572080)
Opened online: 9 January 2020
Accepted by: none
Citation: HE Yue,HUANG Qinlong,HUANG Qinlong.Secure Task Allocation Based on Anonymous Identity in Mobile Crowdsourcing[OL]. [ 9 January 2020] http://en.paper.edu.cn/en_releasepaper/content/4750396
 
 
Mobile crowdsourcing emerges as a new paradigm, which assembles a group of workers with mobile devices to cooperatively achieve arduous tasks delegated by requester. However, due to varieties of attacks and untrustworthy mobile crowdsourcing server, mobile crowdsourcing inevitably raises secure concerns, in which confidentiality of task and identity privacy of worker will be exposed. Consequently, in this paper, a secure task allocation based on anonymous identity scheme in mobile crowdsourcing is proposed to resist against these threats. It leverages identity-based broadcast proxy re-encryption to distribute task from requester to a crowd of workers without the leakage of task data. In addition, pseudoidentity technique is utilized to protect identity of worker when it submits its identity to apply for task. The extensive analysis illustrates that this scheme can preserve confidentiality of task data and identity privacy of worker and withstand various attacks. Experiments have been conducted to validate the performance of this scheme.
Keywords:Mobile crowdsourcing, Data privacy, Identity privacy
 
 
 

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