基于区块链的众感应用保护隐私的激励机制

S. Kaur
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引用次数: 0

摘要

为了有效地收集大量的传感数据,众测应用程序利用了广泛的智能手机用户群。高度称职的用户参与是确保传感数据准确性的必要条件。这些知识渊博的用户必须得到足够的奖励,以弥补他们的资源使用,以鼓励参与。一个“值得信赖”的中心引起了安全和隐私方面的担忧,尽管现有的激励方法主要集中在过程的诚实上。在本研究中,我们为众包应用程序提供了一种区块链激励机制,该机制保护用户隐私,并使用基于区块链的加密货币作为安全奖励方法。高质量的贡献者将为他们的贡献获得报酬,这反映在交易块中。根据矿工发布的传感器数据评估标准,他们将确认交易。由于交易信息可能泄露用户的个人信息,建议采用节点真实性检查方案来实现k- unsigned保密。通过理论分析和模拟试验,论证了该激励机制的可行性和安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Blockchain-Based Incentive Mechanism for Crowdsensing Applications to Preserve Privacy
In order to efficiently gather vast amounts of sensing data, crowdsensing apps make use of the widespread smartphone user base. A highly competent user’s participation is necessary to ensure the accuracy of sensing data. These knowledgeable users must be sufficiently rewarded for making up for their resource usage to encourage participation. A “trustworthy” centre raises security and privacy concerns, although the available incentive methods mostly focus on the honesty of the process. In this research, we provide a blockchain incentive mechanism for crowdsourcing apps that protects user privacy and uses a cryptocurrency based on blockchains as a safe reward method. High-quality contributors will be paid for their contributions, which are reflected in transaction blocks. According to the standards for evaluating sensor data released by the miners, they will confirm the transaction. It is suggested to employ a node authenticity checking plan to accomplish k- unsigned confidentiality since transaction information might reveal users' personal information. Our incentive mechanism’s viability and security are demonstrated through theoretical analysis and simulated trials.
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