Novel multipath propagation based trust value recommendation method

Abstract

The invention discloses a novel multipath propagation based trust value recommendation method, belonging to the field of network security. A trust value of a node is calculated generally by observing behaviors of the node in a network, so that the trust value cannot be obtained if the node has no data transmission or the node cannot be observed. According to the disadvantages of the conventional trust models and trust recommendation, the invention provides a novel multipath propagation based trust value recommendation method which not only solves the technical problem, but is also closer to the trust relationship of humans in the sociology than the conventionally existing recommendation methods, so that the novel multipath propagation based trust value recommendation method avoids listening to the trust value of one-sided recommendation and synthesizes various recommendation advices. The trust value is calculated by using the novel multipath propagation based trust value recommendation method disclosed by the invention. The novel multipath propagation based trust value recommendation method applied to a computer network realizes identification of malicious nodes and therefore guarantees security of network transmission.

Description

technical field [0001] The invention relates to a method for recommending trust values ​​between nodes propagated by multipath in the network data transmission process, and belongs to the field of network security. Background technique [0002] The transmission process in the computer network can no longer simply follow the previous methods to ensure its security, and the cooperation and trust relationship of nodes also play an important role. Trust has been widely used in applications and computer networks, and now there are various trust models for different purposes. [0003] In the wireless network, nodes can observe the situation of sending and forwarding packets of neighbor nodes, and judge the trustworthiness of nodes according to the situation of monitoring the sending and receiving packets of neighbor nodes, so as to realize the quantification of trust and determine whether a node is believable. Most trust models calculate the direct trust value of other nodes bas...

AI Technical Summary

Problems solved by technology

[0004] For example, the trust model based on fuzzy logic proposed by Kim et al., the trust model proposed by Hur et al. to achieve safe data fusion by checking the consistency of the collected data, and Crosby et al. introduced trust into the cluster head election to prevent Malicious nodes are selected as cluster heads, etc. are now more classic trust models, but none of them involve the calculation of recommended trust, so nodes have no way of knowing the trust value of other nodes when they cannot directly obtain the trust value of other nodes

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