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InPPTD: A Lightweight Incentive-Based Privacy-Preserving Truth Discovery for Crowdsensing Systems

机译:Inpptd:一种轻量级的基于激励的隐私保护真理发现,用于众群系统

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摘要

Recently, truth discovery in crowdsensing systems has received considerable attention with its appealing features for extracting truthful information from multiple unreliable data sources. However, it also poses new challenges to the issues of privacy and security. On the one hand, workers' sensed data can be used to infer their privacy. On the other hand, workers may be selfish and lazy, especially in the Internet-of-Things environment, devices are usually resource constrained, so they may dishonestly execute the costly sensing task so as to reduce resource consumption, or even break the protocol to obtain illegal rewards. Although some privacy-preserving truth discovery schemes have been proposed, they still cannot achieve strong privacy protection while keeping efficiency on the worker side, and still has no efficient incentive mechanism to persuade workers to participate in the system operations. In this article, we propose an incentive-based privacy-preserving truth discovery framework, named InPPTD. By adopting the Paillier homomorphic cryptosystem and two noncolluding servers, InPPTD not only effectively protects workers' sensed data information but also preserves the privacy of these workers' weight information. Meanwhile, a weight-based incentive mechanism is introduced in InPPTD to reduce the number of lazy workers. Security and performance analysis shows that InPPTD can guarantee stronger security features, while also ensure efficiency in terms of computation and communication overhead.
机译:最近,众群系统中的真相发现已经接受了可观的关注,以提取来自多个不可靠的数据源的真实信息。但是,它对隐私和安全问题造成了新的挑战。一方面,工人的感官数据可用于推断他们的隐私。另一方面,工人可能是自私和懒惰的,特别是在互联网上的环境中,设备通常是资源受约束,因此他们可能不诚实地执行昂贵的传感任务,以降低资源消耗,甚至打破协议获得非法奖励。虽然已经提出了一些隐私保留真理发现计划,但他们仍然无法实现强烈的隐私保护,同时保持工作人员的效率,仍然没有高效的激励机制来说服工人参与系统运营。在本文中,我们提出了一种基于激励的隐私保留真理发现框架,名为Inpptd。通过采用Paillier同态密码系统和两个非可用服务器,InPPT不仅有效地保护工作人员感官数据信息,而且还可以保留这些工人权重信息的隐私。同时,InPptd中引入了基于体重的激励机制,以减少懒惰工人的数量。安全性和性能分析表明,INPPTD可以保证更强大的安全功能,同时还要确保计算和通信开销的效率。

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