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{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T02:05:45Z","timestamp":1740103545890,"version":"3.37.3"},"reference-count":22,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2018,10,17]],"date-time":"2018-10-17T00:00:00Z","timestamp":1539734400000},"content-version":"vor","delay-in-days":289,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003621","name":"Ministry of Science, ICT and Future Planning","doi-asserted-by":"publisher","award":["IITP-2018-2018-0-01799"],"id":[{"id":"10.13039\/501100003621","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Wireless Communications and Mobile Computing"],"published-print":{"date-parts":[[2018,1]]},"abstract":"With the rapid growth of network of devices with embedded technology, mobile crowdsensing (MCS) has been gaining increasing popularity. The development of 5G network services is prompting further growth in crowdsensing applications. However, MCS participants risk their privacy when reporting data with their actual sensing positions. To address this issue, the concept of differential privacy (DP) can be adopted to provide a theoretical guarantee for participants\u2019 privacy in MCS services. In this study, we design a new DP crowdsensing scheme with game theory. Based on the multilevel interactive game model, MCS server, DP controllers, and mobile devices are regarded as rational individual decision makers that aim to maximize their own payoffs. For these decision makers, the proposed game approach analyzes suitably the competitive and coordinative MCS environments. The main novelty possessed by our control scheme is to capture the dynamics of MCS system operations with the privacy consideration. Compared with other existing protocols, performance evaluation shows the advantages of our proposed scheme in terms of the sensing task success ratio, MCS participating ratio, and normalized payoff of participating devices. Finally, we provide the guidance on the future research direction of MCS services including other issues.<\/jats:p>","DOI":"10.1155\/2018\/9867061","type":"journal-article","created":{"date-parts":[[2018,10,17]],"date-time":"2018-10-17T23:33:24Z","timestamp":1539819204000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A New Differential Privacy Crowdsensing Scheme Based on the Multilevel Interactive Game"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1967-151X","authenticated-orcid":false,"given":"Sungwook","family":"Kim","sequence":"first","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2018,10,17]]},"reference":[{"key":"e_1_2_8_1_2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2762345"},{"key":"e_1_2_8_2_2","doi-asserted-by":"publisher","DOI":"10.5626\/JCSE.2010.4.2.153"},{"key":"e_1_2_8_3_2","doi-asserted-by":"publisher","DOI":"10.5626\/JCSE.2013.7.4.231"},{"key":"e_1_2_8_4_2","doi-asserted-by":"publisher","DOI":"10.4316\/aece.2010.04013"},{"key":"e_1_2_8_5_2","doi-asserted-by":"crossref","unstructured":"JianA. XiaolinG. JianweiY. YuS. andXinH. Mobile Crowd Sensing for Internet of Things: A Credible Crowdsourcing Model in Mobile-Sense Service Proceedings of the 1st IEEE International Conference on Multimedia Big Data BigMM 2015 April 2015 China 92\u201399 2-s2.0-84941200549.","DOI":"10.1109\/BigMM.2015.62"},{"key":"e_1_2_8_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2016.2647624"},{"volume-title":"Game Theory Applications in Network Design","year":"2014","author":"Sungwook Kim","key":"e_1_2_8_7_2"},{"key":"e_1_2_8_8_2","doi-asserted-by":"crossref","unstructured":"LiuJ. ShenH. andZhangX. A survey of mobile crowdsensing techniques: A critical component for the internet of things Proceedings of the 25th International Conference on Computer Communications and Networks ICCCN 2016 August 2016 USA 1 6 https:\/\/doi.org\/10.1109\/ICCCN.2016.7568484 2-s2.0-84991756901.","DOI":"10.1109\/ICCCN.2016.7568484"},{"key":"e_1_2_8_9_2","first-page":"167","article-title":"Preface for the Special Issue on Privacy-Aspects of Data Mining","volume":"5","author":"Aris Gkoulalas-Divanis","year":"2011","journal-title":"JCSE"},{"key":"e_1_2_8_10_2","doi-asserted-by":"publisher","DOI":"10.5626\/jcse.2015.9.3.119"},{"key":"e_1_2_8_11_2","doi-asserted-by":"publisher","DOI":"10.5626\/JCSE.2013.7.3.187"},{"key":"e_1_2_8_12_2","doi-asserted-by":"publisher","DOI":"10.5626\/JCSE.2013.7.3.177"},{"key":"e_1_2_8_13_2","doi-asserted-by":"publisher","DOI":"10.1007\/11787006_1"},{"key":"e_1_2_8_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2791588"},{"key":"e_1_2_8_15_2","article-title":"Correlated Differential Privacy Protection for Mobile Crowdsensing","author":"Chen J.","year":"2018","journal-title":"IEEE Transactions on Big Data"},{"key":"e_1_2_8_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2017.2780091"},{"key":"e_1_2_8_17_2","doi-asserted-by":"crossref","unstructured":"HuaiM. HuangL. SunY.-E. andYangW. Efficient Privacy-Preserving Aggregation for Mobile Crowdsensing Proceedings of the 5th IEEE International Conference on Big Data and Cloud Computing BDCloud 2015 August 2015 China 275\u2013280 2-s2.0-84962774977.","DOI":"10.1109\/BDCloud.2015.54"},{"key":"e_1_2_8_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2016.2632069"},{"key":"e_1_2_8_19_2","doi-asserted-by":"crossref","unstructured":"WangL. ZhangD. YangD. LimB. Y. andMaX. Differential location privacy for sparse mobile crowdsensing Proceedings of the 16th IEEE International Conference on Data Mining ICDM 2016 December 2016 Spain 1257\u20131262 2-s2.0-85014574378.","DOI":"10.1109\/ICDM.2016.0169"},{"key":"e_1_2_8_20_2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2805356"},{"key":"e_1_2_8_21_2","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2014.2384510"},{"key":"e_1_2_8_22_2","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2015.2499244"}],"container-title":["Wireless Communications and Mobile Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/wcmc\/2018\/9867061.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/wcmc\/2018\/9867061.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2018\/9867061","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T06:32:53Z","timestamp":1723012373000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2018\/9867061"}},"subtitle":[],"editor":[{"given":"Jun","family":"Cai","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2018,1]]},"references-count":22,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,1]]}},"alternative-id":["10.1155\/2018\/9867061"],"URL":"https:\/\/doi.org\/10.1155\/2018\/9867061","archive":["Portico"],"relation":{},"ISSN":["1530-8669","1530-8677"],"issn-type":[{"type":"print","value":"1530-8669"},{"type":"electronic","value":"1530-8677"}],"subject":[],"published":{"date-parts":[[2018,1]]},"assertion":[{"value":"2018-05-16","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-10-03","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-10-17","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}