A two‐stage privacy protection mechanism based on blockchain in mobile crowdsourcing

International Journal of Intelligent SystemsVolume 36, Issue 5 p. 2058-2080 RESEARCH ARTICLE A two-stage privacy protection mechanism based on blockchain in mobile crowdsourcing Zice Sun, Zice Sun orcid.org/0000-0002-5436-2547 The School of Computer and Control Engineering, Yantai University, Yantai, Shandong, ChinaSearch for more papers by this authorYingjie Wang, Corresponding Author Yingjie Wang towangyingjie@163.com orcid.org/0000-0003-0920-9305 The School of Computer and Control Engineering, Yantai University, Yantai, Shandong, China Correspondence Yingjie Wang, The School of Computer and Control Engineering, Yantai University, 264005 Yantai, Shandong, China. Email: towangyingjie@163.comSearch for more papers by this authorZhipeng Cai, Zhipeng Cai orcid.org/0000-0001-6017-975X The Department of Computer Science, Georgia State University, Atlanta, Georgia, USASearch for more papers by this authorTianen Liu, Tianen Liu orcid.org/0000-0003-3817-2839 The School of Computer and Control Engineering, Yantai University, Yantai, Shandong, ChinaSearch for more papers by this authorXiangrong Tong, Xiangrong Tong orcid.org/0000-0003-4855-3723 The School of Computer and Control Engineering, Yantai University, Yantai, Shandong, ChinaSearch for more papers by this authorNan Jiang, Nan Jiang orcid.org/0000-0003-1712-1872 The Department of Internet of Things, East China Jiaotong University, Nanchang, ChinaSearch for more papers by this author Zice Sun, Zice Sun orcid.org/0000-0002-5436-2547 The School of Computer and Control Engineering, Yantai University, Yantai, Shandong, ChinaSearch for more papers by this authorYingjie Wang, Corresponding Author Yingjie Wang towangyingjie@163.com orcid.org/0000-0003-0920-9305 The School of Computer and Control Engineering, Yantai University, Yantai, Shandong, China Correspondence Yingjie Wang, The School of Computer and Control Engineering, Yantai University, 264005 Yantai, Shandong, China. Email: towangyingjie@163.comSearch for more papers by this authorZhipeng Cai, Zhipeng Cai orcid.org/0000-0001-6017-975X The Department of Computer Science, Georgia State University, Atlanta, Georgia, USASearch for more papers by this authorTianen Liu, Tianen Liu orcid.org/0000-0003-3817-2839 The School of Computer and Control Engineering, Yantai University, Yantai, Shandong, ChinaSearch for more papers by this authorXiangrong Tong, Xiangrong Tong orcid.org/0000-0003-4855-3723 The School of Computer and Control Engineering, Yantai University, Yantai, Shandong, ChinaSearch for more papers by this authorNan Jiang, Nan Jiang orcid.org/0000-0003-1712-1872 The Department of Internet of Things, East China Jiaotong University, Nanchang, ChinaSearch for more papers by this author First published: 23 January 2021 https://doi.org/10.1002/int.22371Citations: 20Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Abstract With the rise of the Internet of Things (IoT) and fifth-generation (5G) networks, which have led to a surge in data processing and increased data transfer time, traditional cloud computing could no longer meet the needs of workers, so edge computing has emerged. Edge computing could meet the demand for low time consumption by processing data at the edge of the network and then transmitting it to a third-party platform. However, since the credibility of the third-party platform is unknown which can easily leak the privacy of workers. For the transparent mechanism of blockchain, a two-stage privacy protection mechanism based on blockchain is proposed to solve this problem. In the first stage, this paper proposes a double disturbance localized differential privacy (DDLDP) algorithm to disturb the location information of workers. In the second stage, all the sensing data are uploaded to the blockchain through edge nodes, processed by the edge cloud, and fed back to the requester. Blockchain technology not only guarantees the integrity of sensing data, but also prevents the possibility of third-party platforms from leaking workers' privacy. Through extensive performance evaluation and comparative experiments on real data sets, the DDLDP algorithm could effectively protect the privacy of workers and has higher service quality and data availability. Citing Literature Volume36, Issue5May 2021Pages 2058-2080 RelatedInformation