Abstract'/> PAT: A precise reward scheme achieving anonymity and traceability for crowdcomputing in public clouds
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PAT: A precise reward scheme achieving anonymity and traceability for crowdcomputing in public clouds

机译:PAT:一种精确的奖励方案,可实现匿名和可追溯性,以实现公共云中的人群计算

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摘要

AbstractWhile providing anonymity at terminal devices (e.g. Android and iOS devices) is beneficial for users (e.g. consuming services and resources without the risk of being traced), relevant stakeholders (e.g. providers and governments) may require conditional anonymity for billing purpose or to locate dishonest or compromised client devices. In a cloud computing deployment where large number of computation tasks are submitted to the public cloud, the public cloud server may encounter computation peak and hence, responses to the terminal devices may be delayed. Thus, in this paper, we design the first precise reward scheme achieving both anonymity and traceability for crowdcomputing in public clouds. We then prove the security of the proposed scheme in the random oracle model, and demonstrate the practicality of the scheme using simulations.HighlightsWe propose the precise reward model achieving anonymity and traceability for crowdcomputing in public clouds.We construct the first precise reward scheme achieving anonymity and traceability for crowdcomputing in public clouds.We show that our proposed concrete scheme is provably secure. It satisfies the security properties: unforgeability, anonymity, and traceability.Detailed performance analysis and experimental result are given.
机译: 摘要 在终端设备(例如,Android和iOS设备)上提供匿名性对用户(例如,使用服务和资源而不会冒被冒的风险)有利追溯),相关的利益相关者(例如,提供者和政府)可能需要有条件的匿名性,以用于计费目的或查找不诚实或受损的客户端设备。在将大量计算任务提交给公共云的云计算部署中,公共云服务器可能会遇到计算高峰,因此,可能会延迟对终端设备的响应。因此,在本文中,我们设计了第一个同时实现匿名和可追溯性的精确奖励方案,用于公共云中的人群计算。然后,我们在随机预言模型中证明了该方案的安全性,并通过仿真验证了该方案的实用性。 突出显示 •< / ce:label> 我们提出了一种精确的奖励模型,该模型可实现匿名和可追踪性,以便在公共云中进行人群计算。 我们构建了第一个实现匿名和可追溯性的精确奖励方案 < ce:label>• 我们证明了我们提出的具体方案可证明是安全的。它满足安全性:不可伪造,匿名和可跟踪性。 给出了详细的性能分析和实验结果。

著录项

  • 来源
    《Future generation computer systems》 |2018年第1期|262-270|共9页
  • 作者单位

    School of Computer Science and Technology, Nanjing University of Posts and Telecommunications;

    State Key Lab of Software Engineering, Computer School, Wuhan University;

    Jiangsu High Technology Research Key Laboratory for Wireless Sensor Network (NUPT);

    Department of Computer Science and Engineering, Thapar University;

    Department of Information Systems and Cyber Security, The University of Texas at San Antonio,School of Information Technology and Mathematical Sciences, University of South Australia,School of Computer Science, China University of Geosciences;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Cloud crowdcomputing; Anonymous reward scheme; Traceability for crowdcomputing;

    机译:云人群计算匿名奖励方案人群计算的可追溯性;

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