Billions of Internet of Thing (IoT) devices are deployed in edge network. They are used to monitor specific event, process and to collect huge data to control center with smart decision based on the collected data. However, some malicious IoT devices may interrupt and interfere with normal nodes in data collection, causing damage to edge network. Due to the open character of the edge network, how to identify the credibility of these nodes, thereby identifying malicious IoT devices, and ensure reliable data collection in the edge network is a great challenge. In this paper, an Active and Verifiable Trust Evaluation (AVTE) approach is proposed to identify the credibility of IoT devices, so to ensure reliable data collection for Edge Computing with low cost. The main innovations of the AVTE approach compared with the existing work are as follows: (1) In AVTE approach, the trust of the device is obtained by an actively initiated trusted detection routing method. It is fast, accurate and targeted. (2) The acquisition of trust in the AVTE approach is based on a verifiable method and it ensures that the trust degree has higher reliability. (3) The trust acquisition method proposed in this paper is low-cost. An encoding returned verification method is applied to obtain verification messages at a very low cost. This paper proposes an encoding returned verification method, which can obtain verification messages at a very low cost. In addition, the strategy of this paper adopts initiation and verification of adaptive active trust detection according to the different energy consumption of IoT devices, so as to reliably obtain the trust of device under the premise of ensuring network lifetime. Theoretical analysis shows that AVTE approach can improve the data collection rate by 0.5 ~ 23.16% while ensuring long network lifetime compared with the existing scheme.

中文翻译：

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一种主动且可验证的边缘计算信任评估方法

边缘网络中部署了数十亿个物联网（IoT）设备。它们用于监视特定的事件，过程，并根据所收集的数据以明智的决策向控制中心收集大量数据。但是，某些恶意物联网设备可能会中断并干扰数据收集中的正常节点，从而损坏边缘网络。由于边缘网络的开放性，如何识别这些节点的信誉，从而识别恶意物联网设备，并确保边缘网络中可靠的数据收集是一个巨大的挑战。本文提出了一种主动可验证的信任评估（AVTE）方法来确定IoT设备的可信度，从而以低成本确保边缘计算的可靠数据收集。与现有工作相比，AVTE方法的主要创新如下：（1）在AVTE方法中，通过主动发起的信任检测路由方法来获得设备的信任。它快速，准确且有针对性。（2）AVTE方法中信任的获取是基于可验证的方法，它确保了信任度具有更高的可靠性。（3）本文提出的信任获取方法是低成本的。应用编码返回的验证方法以非常低的成本获得验证消息。本文提出了一种编码返回的验证方法，该方法可以以非常低的成本获得验证消息。另外，本文的策略根据物联网设备的能耗不同，采用自适应主动信任检测的启动和验证，在保证网络寿命的前提下可靠地获得设备的信任。