| Title | Malicious Nodes Detection Scheme Based On Dynamic Trust Clouds for Wireless Sensor Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Yang, Liu, Zhang, Ping, Tao, Yang |
| Conference Name | 2021 6th International Symposium on Computer and Information Processing Technology (ISCIPT) |
| Keywords | cloud computing, cloud theory, composability, Computational modeling, Computers and information processing, Computing Theory, Human Behavior, pubcrawl, resilience, Resiliency, security, simulation, Trust, trust evaluation, trust model, Uncertainty, Wireless sensor networks, WSNs |
| Abstract | The randomness, ambiguity and some other uncertainties of trust relationships in Wireless Sensor Networks (WSNs) make existing trust management methods often unsatisfactory in terms of accuracy. This paper proposes a trust evaluation method based on cloud model for malicious node detection. The conversion between qualitative and quantitative sensor node trust degree is achieved. Firstly, nodes cooperate with each other to establish a standard cloud template for malicious nodes and a standard cloud template for normal nodes, so that malicious nodes have a qualitative description to be either malicious or normal. Secondly, the trust cloud template obtained during the interactions is matched against the previous standard templates to achieve the detection of malicious nodes. Simulation results demonstrate that the proposed method greatly improves the accuracy of malicious nodes detection. |
| DOI | 10.1109/ISCIPT53667.2021.00018 |
| Citation Key | yang_malicious_2021 |
Malicious Nodes Detection Scheme Based On Dynamic Trust Clouds for Wireless Sensor Networks