{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:44:14Z","timestamp":1740149054808,"version":"3.37.3"},"reference-count":33,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,2,4]],"date-time":"2021-02-04T00:00:00Z","timestamp":1612396800000},"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":["61472343","61972094"],"award-info":[{"award-number":["61472343","61972094"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Young Talent Promotion Project of Fujian Science and Technology Association","award":["61472343","61972094"],"award-info":[{"award-number":["61472343","61972094"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Security and Communication Networks"],"published-print":{"date-parts":[[2021,2,4]]},"abstract":"<jats:p>Mobile crowdsensing enables people to collect and process a massive amount of information by using social resources without any cost on sensor deployment or model training. Many schemes focusing on the problems of task assignment and privacy preservation have been proposed so far. However, the privacy-preserving of requesters and task access control, which are vital to mobile crowdsensing, is barely considered in the literature. To address the aforementioned issues, a fine-grained task access control system for mobile crowdsensing is proposed. In particular, the requester can decide the group of task performers who can access the task by utilizing attribute-based encryption technology. T he untrusted crowdsensing platform cannot obtain any sensitive information concerning the requester or the task, while the qualified task performers are capable of retrieving tasks within 0.85\u2009ms. Security analysis and experimental results are presented to show the feasibility and efficiency of the proposed system.<\/jats:p>","DOI":"10.1155\/2021\/6682456","type":"journal-article","created":{"date-parts":[[2021,2,5]],"date-time":"2021-02-05T03:36:14Z","timestamp":1612496174000},"page":"1-13","source":"Crossref","is-referenced-by-count":4,"title":["Fine-Grained Task Access Control System for Mobile Crowdsensing"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3720-9292","authenticated-orcid":true,"given":"Jingwei","family":"Wang","sequence":"first","affiliation":[{"name":"School of Information Engineering, Yangzhou University, Yangzhou 225127, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2045-0781","authenticated-orcid":true,"given":"Xinchun","family":"Yin","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Yangzhou University, Yangzhou 225127, China"},{"name":"Guangling College, Yangzhou University, Yangzhou 225128, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianting","family":"Ning","sequence":"additional","affiliation":[{"name":"Fujian Provincial Key Laboratory of Network Security and Cryptology, College of Mathematics and Informatics, Fujian Normal University, Fuzhou 350007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"issue":"1\u20131","key":"1","article-title":"Anomalous iot sensor data detection: an efficient approach enabled by nonlinear frequencydomain graph analysis","volume":"23","author":"Z. 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