Anti-lies attack comprehensive trust value estimation method

Abstract

The invention belongs to the technical field of information safety, and in particular relates to a trust value estimation method in a mobile ad-hoc network (MANET). The method comprises the following steps of: first, giving a method for determining a threshold for judging whether a node is trustworthy; then, determining a presenter set according to the threshold; and finally, giving a model for calculating a trust value. The method can resist lies attack about the trust value of the node; and the trust relationship between a source node and a target node can be reflected actually by the trustvalue calculated by the method discloses by the invention.

Description

technical field [0001] The present invention relates to a comprehensive new trust value evaluation method against lie attacks, specifically a calculation method based on MANET (Mobile Ad-hoc network, mobile ad hoc network) comprehensive trust value in an open network environment, mainly The invention is used to solve the problem of lie attack existing in trust routing, and belongs to the technical field of information security. Background technique [0002] MANET network is a wireless network without infrastructure, and its network topology changes randomly. Because it is a distributed structure, network nodes have routing functions, and it can adapt to some places such as battlefields and disaster sites. The more security problems it has more and more people's attention. However, because it is a wireless communication, and the network topology changes randomly, many security mechanisms suitable for wired networks are no longer applicable to MANET, and its communication sec...

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Problems solved by technology

[0008] However, the above methods all have the following technical problems: 1) The idea adopted is to use the historical behavior of the recommender to judge the credibility of the recommended trust value provided by the recommender, and the recommended trust value cannot be judged by the recommended trust value itself. Credibility

2) When the recommender's historical behavior records are very good, but a bad recommendation trust value is provided, that is, when a lie attack is implemented, it is impossible to distinguish which nodes' recommendation trust values ​​are credible and which are not.

As a result, the calculation of the comprehensive trust value of the source node to the target node is affected, and the best routing information cannot be obtained, which affects communication security

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