A method and system for building trust model of Internet of things terminal

Abstract

The present invention provides a method and system for constructing a trust model of an Internet of Things terminal, including: clustering an Internet of Things terminal according to a preset clustering principle to obtain several terminal clusters; based on a set of communication behavior vectors, calculating Intra-cluster trust value of each terminal; calculating the self-historical data trust value of each terminal from the self-historical data of each terminal; performing trust aggregation and updating based on the intra-cluster trust value and the self-historical data trust value, Get the total trust value of each terminal. The present invention solves the heterogeneous problem of the Internet of Things based on the clustering structure by constructing a new trust model of the Internet of Things terminal, and proposes a low-power centralized trust composition, aggregation and update model to detect possible malicious nodes more efficiently. Addressed issues with network changes and collusion attacks.

Description

Technical field [0001] The present invention relates to the field of networking technology was particularly to a trust things terminal model construction method and system. Background technique [0002] Things are widespread in recent years, a technical field, which refers to various techniques by various information devices and sensors, radio frequency identification technology, global positioning systems, infrared sensors, laser scanners, etc., any need to monitor real-time collection, connected , interactive objects or processes, which collect various types of information required by the various types of network access may be achieved with the composition was between people and ubiquitous connection, the perception of the article and the intelligent process, identify and manage . However, due to lower equipment safe things, things heterogeneous strong features, the development of things brought a lot of new security issues, such as the number of things terminal exponential gro...

AI Technical Summary

Problems solved by technology

Using distributed trust values ​​to build models can make similar nodes score each other. Although it can solve the problems caused by heterogeneity, it also increases the computational burden on the overall structure.

2. Some of the existing trust value evaluation models are obtained by comparing with other nodes in the cluster or scoring each other, and some are obtained by comparing their own historical data, and no matter which method is carried out through a single dimension Judging, when encountering problems such as collusion attacks or network changes, it cannot be solved well at the same time

The fundamental reason is that no matter how accurate the evaluation method is, it only judges through a single dimension, which lacks robustness.

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