Xiaoguang Niu, Meng Li, Qianyuan Chen, Qingqing Cao, Houzhen Wang
{"title":"EPPI:参与式传感系统中基于e美分的隐私保护激励机制","authors":"Xiaoguang Niu, Meng Li, Qianyuan Chen, Qingqing Cao, Houzhen Wang","doi":"10.1109/PCCC.2014.7017066","DOIUrl":null,"url":null,"abstract":"The proliferation of mobile devices has facilitated the prevalence of participatory sensing applications in which participants collect and share information in their environments. The design of a participatory sensing application confronts two challenges: “privacy” and “incentive” which are two conflicting objectives and deserve deeper attention. Inspired by physical currency circulation system, this paper firstly proposes E-cent, a unit bearer currency. It is exchangeable, and participants can utilize it to participate in tasks anonymously. By employing E-cent, we further propose an E-cent-based privacy-preserving incentive mechanism, called EPPI, which exploits a pledge-based participating protocol to encourage participants to participate without revealing privacy and prohibit participants from sending false data. EPPI also takes advantage of a dynamic reward allocation scheme to maximize the value of the services under a budget constraint. To the best of our knowledge, EPPI is the first attempt to build an incentive mechanism while maintaining the desired privacy-preserving in participatory sensing systems. Extensive simulation and analysis results show that EPPI can achieve high anonymity level and remarkable incentive effects.","PeriodicalId":105442,"journal":{"name":"2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"EPPI: An E-cent-based privacy-preserving incentive mechanism for participatory sensing systems\",\"authors\":\"Xiaoguang Niu, Meng Li, Qianyuan Chen, Qingqing Cao, Houzhen Wang\",\"doi\":\"10.1109/PCCC.2014.7017066\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The proliferation of mobile devices has facilitated the prevalence of participatory sensing applications in which participants collect and share information in their environments. The design of a participatory sensing application confronts two challenges: “privacy” and “incentive” which are two conflicting objectives and deserve deeper attention. Inspired by physical currency circulation system, this paper firstly proposes E-cent, a unit bearer currency. It is exchangeable, and participants can utilize it to participate in tasks anonymously. By employing E-cent, we further propose an E-cent-based privacy-preserving incentive mechanism, called EPPI, which exploits a pledge-based participating protocol to encourage participants to participate without revealing privacy and prohibit participants from sending false data. EPPI also takes advantage of a dynamic reward allocation scheme to maximize the value of the services under a budget constraint. To the best of our knowledge, EPPI is the first attempt to build an incentive mechanism while maintaining the desired privacy-preserving in participatory sensing systems. Extensive simulation and analysis results show that EPPI can achieve high anonymity level and remarkable incentive effects.\",\"PeriodicalId\":105442,\"journal\":{\"name\":\"2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PCCC.2014.7017066\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCCC.2014.7017066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
EPPI: An E-cent-based privacy-preserving incentive mechanism for participatory sensing systems
The proliferation of mobile devices has facilitated the prevalence of participatory sensing applications in which participants collect and share information in their environments. The design of a participatory sensing application confronts two challenges: “privacy” and “incentive” which are two conflicting objectives and deserve deeper attention. Inspired by physical currency circulation system, this paper firstly proposes E-cent, a unit bearer currency. It is exchangeable, and participants can utilize it to participate in tasks anonymously. By employing E-cent, we further propose an E-cent-based privacy-preserving incentive mechanism, called EPPI, which exploits a pledge-based participating protocol to encourage participants to participate without revealing privacy and prohibit participants from sending false data. EPPI also takes advantage of a dynamic reward allocation scheme to maximize the value of the services under a budget constraint. To the best of our knowledge, EPPI is the first attempt to build an incentive mechanism while maintaining the desired privacy-preserving in participatory sensing systems. Extensive simulation and analysis results show that EPPI can achieve high anonymity level and remarkable incentive effects.