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Unweighted Overall Fuzzy Evaluation of Mobile Node Trust Risk

Jianjun Wang, Jianping Li


Potential security risk lies inherently in the traditional method that uses credentials to authorize mobile nodes (MNs) access. It is proposed to carry out trust risk assessment on MNs that pass credential authentication in order to beef up reliability in MN access authorization. Because the MN trust risk is generate from aggregation of risk values throughout cellphones, and in view that such methods as the overall fuzzy evaluation and the D-S evidence theory need to be assigned with a weight, the method to use risk compensation aggregation is proposed. In the method, no weight is needed, the risk value of the risk sequential medians is used as the clustering center, and the Hamming distance is used to compensate the risk value so that the risk value aggregates toward the clustering center, and then take the mean of compensated maximum and minimum as the trust risk to avoid the trust risk going unacceptable. An example is used to demonstrate the method is pretty steady, simple in calculation and practical.


mobile nodes, risk compensation, fuzzy aggregation, overall fuzzy evaluation, evidence theory.

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