Abstract
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.
Highlights
With the development of Internet of Things (IoT), there will be more than 20 billion IoT devices by 2020 [1,2,3]
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
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
Summary
With the development of Internet of Things (IoT), there will be more than 20 billion IoT devices by 2020 [1,2,3]. 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. (2) The AVTE method proposes a method to return verification information of multiple data packets at one time to reduce the node energy cost of returning feedback. The main idea of the proposed strategy is that the node actively initiates some probe routes with no data content, and if a node launches an attack on it, its trust is reduced, so that it can obtain the trust status of more nodes in a shorter time. Select nodes with high trust for data transmission, ensuring the security of data collection and at the same time feeding back the results of k data XOR, which can reduce energy cost. 2烉 Assign an initial value to the initial trust value Φ of node A and the degree of change φ of the trust value
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