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An efficient and privacy-preserving truth discovery scheme in crowdsensing applications

机译：众包应用中有效和隐私保留真理发现方案

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摘要

Truth discovery is a reliable and effective technique to resolve conflicts of heterogeneous data and estimate user reliability in mobile crowdsensing systems. Despite its effectiveness, the widespread adoption of truth discovery requires solid privacy preservation against users' sensory data and reliability information. Existing works of private truth discovery are primarily based on conventional cryptographic primitives, which introduce tremendous workloads on the system. In this work, we first propose an efficient and privacy-preserving truth discovery framework (EPTD-I) by adopting a novel data perturbation mechanism. EPTD-I not only protects users' privacy but also introduces little overhead on the user side. Moreover, for high mobility environments, we improve the design with a user non-interactive scheme named EPTD-Ⅱ to shift all encrypted truth discovery operations to cloud platforms. In EPTD-Ⅱ, each user's sensitive information is also kept private during the complete truth discovery procedure. Thorough security analysis demonstrates that our proposed schemes are secure and offer a high level of privacy preservation. Extensive experiments conducted on practical and simulated crowdsensing applications demonstrate the effectiveness and efficiency of the proposed schemes.
机译：真实性发现是一种可靠而有效的技术，可以解决移动人群系统中的异构数据冲突和估计用户可靠性的方法。尽管有其有效性，但真理发现的广泛采用需要针对用户的感官数据和可靠性信息的稳固隐私保护。私人真理发现的现有作品主要基于传统的加密基元，这在系统上引入了巨大的工作负载。在这项工作中，我们首先通过采用新的数据扰动机制提出了一种高效和隐私保留真实的真实性发现框架（EPTD-I）。 EPTD - 我不仅可以保护用户的隐私，而且在用户方面也引入了很少的开销。此外，对于高移动性环境，我们通过名为EPTD-Ⅱ的用户非交互式方案来改进设计，将所有加密的真实性发现操作转移到云平台。在EPTD-Ⅱ中，每个用户的敏感信息也在完整的真相发现过程中保持私密。彻底的安全性分析表明，我们的拟议计划是安全的，提供高水平的保存。对实际和模拟众脉型应用进行的广泛实验表明了提出的计划的有效性和效率。

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  • 来源
    《Computers & Security》 |2020年第10期|101848.1-101848.10|共10页
  • 作者

    Chuan Zhang; Chang Xu; Liehuang Zhu; Yanwei Li; Can Zhang; Huishu Wu;

  • 作者单位

    Beijing Engineering Research Center of Massive Language Information Processing and Cloud Computing Application School of Computer Science and Technology Beijing Institute of Technology Beijing China;

    Beijing Engineering Research Center of Massive Language Information Processing and Cloud Computing Application School of Computer Science and Technology Beijing Institute of Technology Beijing China;

    Beijing Engineering Research Center of Massive Language Information Processing and Cloud Computing Application School of Computer Science and Technology Beijing Institute of Technology Beijing China;

    National Computer Network Emergency Response Technical Team/Coordination Center of China China;

    Beijing Engineering Research Center of Massive Language Information Processing and Cloud Computing Application School of Computer Science and Technology Beijing Institute of Technology Beijing China;

    Cyberjustice Laboratory University of Montreal Canada;

  • 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

    Truth discovery; Efficiency; Privacy preservation; Mobile crowdsensing; Cloud computing;

    机译：真相发现;效率;隐私保存;移动人群;云计算;

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