{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T15:26:47Z","timestamp":1784302007257,"version":"3.55.0"},"reference-count":36,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2018,11,12]],"date-time":"2018-11-12T00:00:00Z","timestamp":1541980800000},"content-version":"vor","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":["41761086, 61461037, 61761035, 61661041"],"award-info":[{"award-number":["41761086, 61461037, 61761035, 61661041"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018537","name":"National Science and Technology Major Project of the Ministry of Science and Technology of China","doi-asserted-by":"publisher","award":["No.2016YFB0502102"],"award-info":[{"award-number":["No.2016YFB0502102"]}],"id":[{"id":"10.13039\/501100018537","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of Inner Mongolia 209 Autonomous Region of China","award":["2017JQ09"],"award-info":[{"award-number":["2017JQ09"]}]},{"name":"the \u201cGrassland Elite\u201d Project of the Inner Mongolia 210 Autonomous Region","award":["CYYC5016"],"award-info":[{"award-number":["CYYC5016"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Crowd sensing is a perception mode that recruits mobile device users to complete tasks such as data collection and cloud computing. For the cloud computing platform, crowd sensing can not only enable users to collaborate to complete large-scale awareness tasks but also provide users for types, social attributes, and other information for the cloud platform. In order to improve the effectiveness of crowd sensing, many incentive mechanisms have been proposed. Common incentives are monetary reward, entertainment &amp; gamification, social relation, and virtual credit. However, there are rare incentives based on privacy protection basically. In this paper, we proposed a mixed incentive mechanism which combined privacy protection and virtual credit called a blockchain-based location privacy protection incentive mechanism in crowd sensing networks. Its network structure can be divided into three parts which are intelligence crowd sensing networks, confusion mechanism, and blockchain. We conducted the experiments in the campus environment and the results shows that the incentive mechanism proposed in this paper has the efficacious effect in stimulating user participation.<\/jats:p>","DOI":"10.3390\/s18113894","type":"journal-article","created":{"date-parts":[[2018,11,14]],"date-time":"2018-11-14T10:58:22Z","timestamp":1542193102000},"page":"3894","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":118,"title":["A Blockchain-Based Location Privacy Protection Incentive Mechanism in Crowd Sensing Networks"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3294-6303","authenticated-orcid":false,"given":"Bing","family":"Jia","sequence":"first","affiliation":[{"name":"Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing, Hohhot 010021, China"},{"name":"College of Computer Science, Inner Mongolia University, Hohhot 010021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1770-0209","authenticated-orcid":false,"given":"Tao","family":"Zhou","sequence":"additional","affiliation":[{"name":"Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing, Hohhot 010021, China"},{"name":"College of Computer Science, Inner Mongolia University, Hohhot 010021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wuyungerile","family":"Li","sequence":"additional","affiliation":[{"name":"Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing, Hohhot 010021, China"},{"name":"College of Computer Science, Inner Mongolia University, Hohhot 010021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenchang","family":"Liu","sequence":"additional","affiliation":[{"name":"Office of Informationization Construction and Management, Nankai University, Tianjin 300071, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiantao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Human Resources Department, Nankai University, Tianjin 300071, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2018,11,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Longo, A., Zappatore, M., and Bochicchio, M.A. (2015, January 18\u201320). Collaborative learning from Mobile Crowd Sensing: A case study in electromagnetic monitoring. Proceedings of the 2015 IEEE Global Engineering Education Conference (EDUCON), Tallinn, Estonia.","DOI":"10.1109\/EDUCON.2015.7096052"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3093895","article-title":"Crowd-Sourced Data Collection for Urban Monitoring via Mobile Sensors","volume":"18","author":"Longo","year":"2017","journal-title":"ACM Trans. Internet Technol."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Alvear, O., Calafate, C., Cano, J.C., and Manzoni, P. (2018). Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues. Sensors, 18.","DOI":"10.3390\/s18020460"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Corradi, A., Foschini, L., Gioia, L., and Ianniello, R. (2016, January 4\u20138). Leveraging Communities to Boost Participation and Data Collection in Mobile Crowd Sensing. Proceedings of the 2016 IEEE Global Communications Conference (GLOBECOM), Washington, DC, USA.","DOI":"10.1109\/GLOCOM.2016.7841952"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"7649","DOI":"10.1109\/JSEN.2017.2725638","article-title":"Large Scale Distributed Dedicated- and Non-Dedicated Smart City Sensing Systems","volume":"17","author":"Habibzadeh","year":"2017","journal-title":"IEEE Sens. J."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1109\/MCOM.2017.1700693","article-title":"Traffic Density Estimation: A Mobile Sensing Approach","volume":"55","author":"Panichpapiboon","year":"2017","journal-title":"IEEE Commun. Mag."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Cortellazzi, J., Foschini, L., Rolt, C.R.D., Corradi, A., Neto, C.A.A., and Alperstedt, G.D. (2016, January 27\u201330). Crowdsensing and proximity services for impaired mobility. Proceedings of the 2016 IEEE Symposium on Computers and Communication (ISCC), Messina, Italy.","DOI":"10.1109\/ISCC.2016.7543712"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1144","DOI":"10.1016\/j.ijhcs.2013.06.003","article-title":"Dimensionality of information disclosure behavior","volume":"71","author":"Knijnenburg","year":"2013","journal-title":"Int. J. Hum. Comput. Stud."},{"key":"ref_9","first-page":"62","article-title":"Understanding Situational Online Information Disclosure as a Privacy Calculus","volume":"51","author":"Li","year":"2010","journal-title":"J. Comput. Inf. Syst."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"4203","DOI":"10.1109\/TVT.2014.2363842","article-title":"Quality-Driven Auction-Based Incentive Mechanism for Mobile Crowd Sensing","volume":"64","author":"Wen","year":"2015","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Guo, B., Chen, H., Yu, Z., Nan, W., Xie, X., Zhang, D., and Zhou, X. (2016). TaskMe: Toward a Dynamic and Quality-Enhanced Incentive Mechanism for Mobile Crowd Sensing. Int. J. Hum. Comput. Stud.","DOI":"10.1016\/j.ijhcs.2016.09.002"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Guo, B., Nan, W., Yu, Z., Xie, X., Chen, H., and Zhou, X. (2015, January 7). TaskMe: A cross-community, quality-enhanced incentive mechanism for mobile crowd sensing. Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Osaka, Japan.","DOI":"10.1145\/2800835.2800860"},{"key":"ref_13","unstructured":"Zhang, Y., Gu, Y., Liu, L., Pan, M., Dawy, Z., and Han, Z. (2015, January 9\u201312). Incentive mechanism in crowdsourcing with moral hazard. Proceedings of the 2015 IEEE Wireless Communications and Networking Conference (WCNC), New Orleans, LA, USA."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Sun, J. (2013). Behavior-Based online Incentive Mechanism for Crowd Sensing with Budget Constraints. arXiv.","DOI":"10.1109\/ICC.2014.6883503"},{"key":"#cr-split#-ref_15.1","doi-asserted-by":"crossref","unstructured":"Kosba, A., Miller, A., Shi, E., Wen, Z., and Papamanthou, C. (2016, January 22-26). Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts. Proceedings of the 2016 IEEE Symposium on Security and Privacy","DOI":"10.1109\/SP.2016.55"},{"key":"#cr-split#-ref_15.2","unstructured":"(SP) (2016), San Jose, CA, USA."},{"key":"ref_16","unstructured":"Swan, M. (2015). Blockchain: Blueprint for a New Economy, O\u2019Reilly Media, Inc."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Chatzopoulos, D., Gujar, S., Faltings, B., and Hui, P. (2018). Privacy Preserving and Cost Optimal Mobile Crowdsensing using Smart Contracts on Blockchain. arXiv.","DOI":"10.1109\/MASS.2018.00068"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2292","DOI":"10.1109\/ACCESS.2016.2566339","article-title":"Blockchains and Smart Contracts for the Internet of Things","volume":"4","author":"Christidis","year":"2016","journal-title":"IEEE Access"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Meyerson, A., and Williams, R. (2004, January 13\u201318). On the complexity of optimal K-anonymity. Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, Paris, France.","DOI":"10.1145\/1055558.1055591"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"2201","DOI":"10.1109\/TPDS.2013.271","article-title":"Securely Outsourcing Attribute-Based Encryption with Checkability","volume":"25","author":"Li","year":"2014","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"ref_21","unstructured":"Wang, J., Ren, P., Zhenqiang, W.U., and Yanping, L.I. (2014). Anonymous communication mechanism based on coding-confusion. Comput. Eng. Appl."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Liu, Z., Li, T., Li, P., Jia, C., and Li, J. (2017). Verifiable searchable encryption with aggregate keys for data sharing system. Future Gener. Comput. Syst., 78.","DOI":"10.1016\/j.future.2017.02.024"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Li, T., Chen, W., Tang, Y., and Yan, H. (2018). A Homomorphic Network Coding Signature Scheme for Multiple Sources and its Application in IoT. Secur. Commun. Netw.","DOI":"10.1155\/2018\/9641273"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Kumar, M.K., Azam, S.M., and Rasool, S. (2010). Efficient Digital Encryption Algorithm Based on Matrix Scrambling Technique. Int. J. Netw. Secur. Appl., 2.","DOI":"10.5121\/ijnsa.2010.2403"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1007\/s11227-007-0107-7","article-title":"A Parallel Algorithm for determining the inverse of a matrix for use in blockcipher encryption\/decryption","volume":"39","author":"Obimbo","year":"2007","journal-title":"J. Supercomput."},{"key":"ref_26","unstructured":"Merkle, R.C. (1987, January 16\u201320). A Digital Signature Based on a Conventional Encryption Function. Proceedings of the Theory and Applications of Cryptographic Techniques on Advances in Cryptology, London, UK."},{"key":"ref_27","first-page":"099101","article-title":"Image Scrambling Algorithm based on Affine Cipher and Stream Cipher","volume":"48","author":"Liang","year":"2006","journal-title":"Mod. Comput."},{"key":"ref_28","first-page":"69","article-title":"The Research Design Maze: Understanding Paradigms, Cases, Methods and Methodologies","volume":"10","author":"Wahyuni","year":"2012","journal-title":"J. Appl. Mang. Acc. Res."},{"key":"ref_29","first-page":"165","article-title":"Collaborative Trajectory Privacy Preserving Scheme in Location-based Services","volume":"387","author":"Peng","year":"2017","journal-title":"Inf. Sci. An Int. J."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Buchmann, J., Dahmen, E., and Schneider, M. (2008, January 17\u201319). Post-Quantum Cryptography. Proceedings of the Second International Workshop, PQCrypto 2008, Cincinnati, OH, USA.","DOI":"10.1007\/978-3-540-88403-3"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"10179","DOI":"10.1109\/ACCESS.2018.2799854","article-title":"When Intrusion Detection Meets Blockchain Technology: A Review","volume":"6","author":"Meng","year":"2018","journal-title":"IEEE Access"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"17545","DOI":"10.1109\/ACCESS.2018.2805837","article-title":"A Blockchain based Privacy-Preserving Incentive Mechanism in Crowdsensing Applications","volume":"6","author":"Wang","year":"2018","journal-title":"IEEE Access"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Zhu, Y., Zhang, Y., Li, X., Yan, H., and Li, J. (2018). Improved collusion-resisting secure nearest neighbor query over encrypted data in cloud. Concurr. Comp.-Pract. E.","DOI":"10.1002\/cpe.4681"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"3184","DOI":"10.1109\/TC.2015.2512870","article-title":"Verifiable Computation over Large Database with Incremental Updates","volume":"65","author":"Chen","year":"2016","journal-title":"IEEE Trans. Comput."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Khaled, R., and Lishan Ke, R. (2018). RoughDroid: Operative Scheme for Functional Android Malware Detection. Secur. Commun. Netw.","DOI":"10.1155\/2018\/8087303"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/11\/3894\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:29:14Z","timestamp":1760196554000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/11\/3894"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,12]]},"references-count":36,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2018,11]]}},"alternative-id":["s18113894"],"URL":"https:\/\/doi.org\/10.3390\/s18113894","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,11,12]]}}}