Abstract

To solve the real-time trusted measurement of user behaviour in trusted networks, a new combination of dynamic and static, subjective and objective behaviour trusted measurement scheme is presented. The scheme analyses the credibility of the real-time user state and the direct trusted measurement value of the user behaviour, and finally controls the user behaviour by the feedback measurement of the user behaviour. The research results show that when the ratio of untrusted nodes is 15%, 30% and 50%, the trusted detection rate of this paper can reach more than 92%, and the untrusted node in trusted network can be identified with the increase of time. Compared with traditional measurement scheme, the scheme can be more accurate and reasonable to calculate the credibility of user behaviour, and can reflect the changes of the credibility of users' actual behaviour at all times, and ultimately implement the feedback control on user behaviour.

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