EPPI:参与式传感系统中基于e美分的隐私保护激励机制

Xiaoguang Niu, Meng Li, Qianyuan Chen, Qingqing Cao, Houzhen Wang
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引用次数: 17

摘要

移动设备的普及促进了参与式传感应用的普及,参与者在其环境中收集和共享信息。参与式传感应用的设计面临着“隐私”和“激励”这两个相互冲突的目标的挑战,值得深入关注。受实物货币流通体系的启发,本文首先提出了单位不记名货币e分。它是可交换的,参与者可以使用它来匿名参与任务。通过使用E-cent,我们进一步提出了一种基于E-cent的隐私保护激励机制,称为EPPI,它利用基于承诺的参与协议来鼓励参与者在不泄露隐私的情况下参与,并禁止参与者发送虚假数据。EPPI还利用动态奖励分配方案,在预算约束下实现服务价值最大化。据我们所知,epi是第一次尝试在参与式传感系统中建立激励机制,同时保持期望的隐私保护。大量的仿真和分析结果表明,EPPI具有较高的匿名性和显著的激励效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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