{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T22:59:12Z","timestamp":1757545152814,"version":"3.37.3"},"reference-count":36,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,9,20]],"date-time":"2021-09-20T00:00:00Z","timestamp":1632096000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61872104","3072020CF0603"],"award-info":[{"award-number":["61872104","3072020CF0603"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["61872104","3072020CF0603"],"award-info":[{"award-number":["61872104","3072020CF0603"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Security and Communication Networks"],"published-print":{"date-parts":[[2021,9,20]]},"abstract":"<jats:p>Mobile Crowdsensing (MCS) has evolved into an effective and valuable paradigm to engage mobile users to sense and collect urban-scale information. However, users risk their location privacy while reporting data with actual sensing locations. Existing works of location privacy-preserving are primarily based on single-region location information, which rely on a trusted and centralized sensing platform and ignore the impact of regional differences on user privacy-preserving demands. To tackle this issue, we propose a Location Difference-Based Privacy-Preserving Framework (LDPF), leveraging the powerful edge servers deployed between users and the sensing platform to hide and manage users according to regional user characteristics. More specifically, for popular regions, based on the edge servers and the k-anonymity algorithm, we propose a Coordinate Transformation and Bit Commitment (CTBC) privacy-preserving method that effectively guarantees the privacy of location data without relying on a trusted sensing platform. For remote regions, based on a more realistic distance calculation mode, we design a Paillier Encryption Data Coding (PDC) privacy-preserving method that realizes the secure computation for users\u2019 location and prevents malicious users from deceiving. The theoretical analysis and simulation results demonstrate the security and efficiency of the proposed framework in location difference-based privacy-preserving.<\/jats:p>","DOI":"10.1155\/2021\/5855745","type":"journal-article","created":{"date-parts":[[2021,9,21]],"date-time":"2021-09-21T21:50:07Z","timestamp":1632261007000},"page":"1-18","source":"Crossref","is-referenced-by-count":8,"title":["From Centralized Protection to Distributed Edge Collaboration: A Location Difference-Based Privacy-Preserving Framework for Mobile Crowdsensing"],"prefix":"10.1155","volume":"2021","author":[{"given":"Zihao","family":"Shao","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1007-5589","authenticated-orcid":true,"given":"Huiqiang","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yifan","family":"Zou","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zihan","family":"Gao","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongwu","family":"Lv","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/mcom.2011.6069707"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1111\/pirs.12304"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1145\/2370216.2370288"},{"year":"2010","key":"4","article-title":"Gigwalk"},{"year":"2011","key":"5","article-title":"Streetspotr"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1109\/mcom.001.1800674"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1109\/tase.2017.2761793"},{"issue":"6","key":"8","doi-asserted-by":"crossref","first-page":"4579","DOI":"10.1109\/JIOT.2020.3027057","article-title":"From centralized management to edge collaboration: a privacy-preserving task assignment framework for mobile crowd sensing","volume":"8","author":"D. 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