Wireless sensor network trust evaluating method based on fuzzy logic

Abstract

The invention relates to a wireless sensor network trust evaluating method based on a fuzzy logic, which comprises the following steps that: (1) an evaluating node initializes the direct trust vectors of evaluated nodes; (2) the evaluating node periodically updates the direct trust vectors of the evaluated nodes by using a fuzzy inference method; (3) the evaluating node collects the indirect trust vectors of recommended nodes on the evaluated nodes; (4) by utilizing the direct trust vectors and the indirect trust vectors of the evaluated nodes, the evaluating node calculates the comprehensivetrust vectors of the evaluated nodes; and (5) according to the comprehensive trust vectors of the evaluated nodes, the evaluating node carries out the judgement of the trust classification and the decision of the network collaboration on the evaluated nodes. The invention realizes the trust quantification by adopting the trust value definition based on a fuzzy set theory and using a fuzzy inference algorithm, thereby effectively handling the problem of the subjective fuzziness of the trust and simulating the subjective cognitive process of the trust inference. Compared with the traditional algorithm, the wireless sensor network trust evaluating method has higher sensitivity, accuracy and generality.

Description

technical field [0001] The invention relates to the technical field of wireless sensor network trust management, in particular to trust evaluation in wireless sensor networks, a method for wireless sensor network trust evaluation based on fuzzy logic. Background technique [0002] The wireless sensor network integrates sensor technology, micro-electromechanical system technology, embedded computing technology, wireless communication technology and distributed information processing technology. It uses a large number of sensor nodes deployed in the monitoring area to collect sensory information within the network coverage. The multi-hop wireless communication method provides the collected and processed information to end users. Wireless sensor networks do not require fixed network support, and have the characteristics of rapid deployment and strong invulnerability. They are widely used in military reconnaissance, environmental monitoring, industrial control, medical monitorin...

AI Technical Summary

Problems solved by technology

These three types of methods use simple statistical methods to realize the uncertainty analysis of node trust, which meets the lightweight requirements of sensor nodes, but completely equates the uncertainty of trust with randomness, ignoring subjective ambiguity, which affects the accuracy of the trust assessment

In addition, in the trust evaluation based on the classical concept, the weighted average of trust factors finally makes trust management less sensitive to malicious nodes with a single form of attack, and its trust factor calculation weight is also difficult to determine; in the Bayesian principle-based In the trust evaluation method, the subjective assumption of prior distribution increases the uncertainty of trust, and the simple classification of node network behavior as good or bad eventually makes trust management less sensitive to malicious nodes with a single form of attack; experience-based trust evaluation methods Only examine the single trust factor of the node, which is one-sided and poor in versatility

Images