Trust management method based on nested game in center base cognitive wireless network

Abstract

The invention discloses a trust management method based on a nested game in a center based cognitive wireless network. The method comprises the steps of establishing a nested game model, perceiving a spectral state, making a secondary user select a perception stage strategy and upload the perception data, making a data center fuse the perception data, making the secondary user select a transmission stage strategy, selecting a sliding window value, calculating a historical credit value and the credit value of this time based on the strategy, calculating utility functions of the first and second stages, optimizing the utility functions based on the game theory to solve the optimal strategy, updating trust function values, and distributing the spectrum based on the ranking of the trust values. The method aims at the buildup of the whole cognitive cycle, and uses the nested game theory and the marginal utility theory to be capable of effectively resisting malicious attacks. The cognitive process is classified into the perception stage and the data transmission stage. A secondary user can assess the credit value in the strategies in different periods of time. Secondary users game each other to acquire the spectrum, eliminate the malicious users and make the whole system tend to be better.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a nested game-based trust management method in a central cognitive wireless network. Background technique [0002] Cognitive wireless networks allow unlicensed users to opportunistically utilize idle spectrum without interfering with authorized users, thereby effectively improving the utilization of spectrum resources and meeting the needs of more users. These new functions of cognitive wireless networks have introduced many new types of network attacks, such as: perception data tampering attacks, learning threats, master user interference attacks, partner deception, etc. However, traditional security strategies such as encryption technology, authentication technology, and access control technology cannot solve these soft security threats from within cognitive wireless networks. Trust management mechanism is currently recognized as one of the most effective strategies and...

AI Technical Summary

Problems solved by technology

However, this algorithm can only identify malicious users whose uploaded perception results are always "the authorized user is using" or "the authorized user is currently absent", so the algorithm has some flaws to some extent

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