An Adaptive Trust Evaluation Model for IOT Nodes

Aiming at the shortcomings of the existing trust evaluation model of IOT nodes, such as poor effect, low accuracy, and difficulty in dealing with malicious node fraud, a dynamic trust evaluation model DATEM based on IOT nodes is proposed. In the direct trust calculation, considering the fault-tolera...

Full description

Saved in:
Bibliographic Details
Published in2022 4th International Conference on Frontiers Technology of Information and Computer (ICFTIC) pp. 828 - 833
Main Authors Ren, Xiaohui, Li, Da, Guo, Ting, Cui, Jiayang
Format Conference Proceeding
LanguageEnglish
Published IEEE 02.12.2022
Subjects
Adaptation models
Bayesian theory
Computational modeling
Fault diagnosis
Fault tolerance
Fault tolerant systems
Heuristic algorithms
Internet of Things
Recommend trust
Simulation
Trust model
Online AccessGet full text

Cover

More Information
Summary:Aiming at the shortcomings of the existing trust evaluation model of IOT nodes, such as poor effect, low accuracy, and difficulty in dealing with malicious node fraud, a dynamic trust evaluation model DATEM based on IOT nodes is proposed. In the direct trust calculation, considering the fault-tolerant and consistent data transmission of adjacent nodes and the impact of node energy on transmission, the dynamic reward and punishment factor is used to accelerate the change rate of trust value when malicious acts occur, and improve the competitiveness of normal nodes; In the calculation of recommendation trust, K-means clustering algorithm is used to filter recommendation nodes and shield false recommendations from malicious nodes; In the calculation of comprehensive trust degree, the weight of trust value is determined according to the sufficiency of node trust queue and the dispersion of direct trust value in the queue; The simulation results show that DATEM has a faster response to data attacks and a better ability to identify and constrain fraud.
DOI:10.1109/ICFTIC57696.2022.10075098