基于区块链智能合约的隐私保护和成本优化移动人群感知
Privacy Preserving and Cost Optimal Mobile Crowdsensing using Smart Contracts on Blockchain
摘要：
由于移动设备及其传感和处理能力的广泛应用，移动人群感知应用的普及性和适用性不断增加。然而，我们需要为贡献资源并保护隐私的移动用户提供适当的激励。区块链技术实现了半匿名的多方交互，并可用于众测应用程序，以维护移动用户的隐私，同时确保一流的众测数据。在这项工作中，我们建议使用区块链技术和智能合约来协调移动众测提供商和移动用户之间的互动，以实现空间众测，其中移动用户需要在特定位置执行任务。智能合约作为在区块链上执行的流程运行，用于保护用户的隐私并进行支付。此外，为分配的人群感知任务的移动用户，我们设计了一个真实的，成本最优的拍卖，最大限度地减少支付从人群感知提供商的移动用户。大量的实验结果表明，建议的隐私保护拍卖优于国家的最先进的建议，成本高的移动用户和任务数的10倍。
英文摘要：
The popularity and applicability of mobile crowdsensing applications are continuously increasing due to the widespread of mobile devices and their sensing and processing capabilities. However, we need to offer appropriate incentives to the mobile users who contribute their resources and preserve their privacy. Blockchain technologies enable semi-anonymous multi-party interactions and can be utilized in crowdsensing applications to maintain the privacy of the mobile users while ensuring first-rate crowdsensed data. In this work, we propose to use blockchain technologies and smart contracts to orchestrate the interactions between mobile crowdsensing providers and mobile users for the case of spatial crowdsensing, where mobile users need to be at specific locations to perform the tasks. Smart contracts, by operating as processes that are executed on the blockchain, are used to preserve users' privacy and make payments. Furthermore, for the assignment of the crowdsensing tasks to the mobile users, we design a truthful, cost-optimal auction that minimizes the payments from the crowdsensing providers to the mobile users. Extensive experimental results show that the proposed privacy preserving auction outperforms state-of-the-art proposals regarding cost by ten times for high numbers of mobile users and tasks.
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