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A Reliable Trust Computing Mechanism in Fog Computing

机译:雾计算中可靠的信任计算机制

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Due to the lack of trust on IoT devices, the integration of fog computing and IoT devices is hindered. Trust is considered to have two notions: subjective trust where the user puts his individual interests to the interactions and objective trust which depends only on individual interaction experiences. This paper proposes a reliable trust computing mechanism based on subjective and objective trust. The subjective trust is calculated from feedback of multiple sources. The incentive and punishment mechanism is applied to the subjective trust to avoid malicious devices. The objective trust is calculated based on quality of services. The overall trust helps the IoT devices to determine the trustworthiness of other IoT devices and in turn helps to establish a trusted environment. The experimental results show that the performance is better than existing methods in terms of time required to calculate the overall trust, reliability, and trustworthiness of IoT devices.
机译:由于IOT设备对信任缺乏,雾化计算和IOT设备的集成受阻。信任被认为有两个概念:用户将自己的兴趣与互动和客观信任仅取决于个人互动经历的主观信任。本文提出了一种基于主观和客观信任的可靠信任计算机制。主观信任是根据多个来源的反馈计算的。激励和惩罚机制适用于主观信任,以避免恶意设备。客观信任是根据服务质量计算的。整体信任有助于IOT设备确定其他物联网设备的可信度,并反过来有助于建立可信环境。实验结果表明,在计算IOT设备的整体信任,可靠性和可信度所需的时间方面,性能优于现有方法。

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