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A novel trust mechanism based on Fog Computing in Sensor-Cloud System

机译:一种基于传感器云系统雾计算的新型信任机制

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摘要

In recent years, Sensor-Cloud System (SCS) has become a hot research issue. In this system, there are some cyber security problems that can be well solved by the trust mechanism. However, there are still some deficiencies in existing trust mechanisms, especially for the SCS underlying structure. We proposed a fog-based hierarchical trust mechanism for these cyber security deficiencies. This hierarchical mechanism consists of two parts, trust in the underlying structure and trust between cloud service providers (CSPs) and sensor service providers (SSPs). For trust in the underlying structure, the behavior monitoring part is established and implemented in Wireless Sensor Networks (WSNs), and the fine-grained and complicated data analysis part is moved to the fog layer. For trust between CSPs and SSPs, it focuses more on the real-time comparison of service parameters, the gathering of exception information in WSNs, the targeted quantitative evaluation of entities and so on. The experimental results indicate that this fog-based hierarchical structure performs well in saving network energy, detecting malicious nodes rapidly and recovering misjudgment nodes in an acceptable delay. Furthermore, the reliability of edge nodes is well guaranteed by data analyses in the fog layer and an evaluation strategy based on similar service records is put forward.
机译:近年来,传感器 - 云系统(SCS)已成为一个热门的研究问题。在该系统中,有一些网络安全问题可以通过信任机制很好解决。但是,现有的信任机制仍然存在一些缺陷,特别是对于基础结构的基础结构。我们提出了一种基于迷人的分层信任机制,用于这些网络安全缺陷。该分层机制包括两部分,信任云服务提供商(CSP)和传感器服务提供商(SSP)之间的基础结构和信任。为了信任底层结构,在无线传感器网络(WSN)中建立和实现行为监测部分,并且细粒度和复杂的数据分析部分被移动到雾层。对于CSP和SSP之间的信任,它更多地关注服务参数的实时比较,WSN中的异常信息的收集,实体的目标定量评估等。实验结果表明,这种基于雾的分层结构在节省网络能量方面表现良好,在可接受的延迟中快速检测恶意节点并恢复误判节点。此外,通过雾层中的数据分析,提出了基于类似服务记录的评估策略的数据分析很好地保证了边缘节点的可靠性。

著录项

  • 来源
    《Future generation computer systems》 |2020年第8期|573-582|共10页
  • 作者单位

    College of Computer Science and Technology Huaqiao University Xiamen Fujian China School of Computer Science and Educational Software Guangzhou University Guangzhou Guangdong China;

    College of Computer Science and Technology Huaqiao University Xiamen Fujian China;

    Department of Computer and Information Sciences Fordham University NY USA;

    School of Information Science and Engineering Central South University Changsha Hunan China;

    Data Science Center University of Macau Macau China;

    School of Computer Science and Information Engineering Zhejiang Gongshang University Hangzhou Zhejiang China;

  • 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

    Sensor-Cloud; Fog Computing; Trust mechanism; Misjudgment node; Edge node;

    机译:传感器云;雾计算;信任机制;误导节点;边缘节点;

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