Abstract
Trust can play an important role for the sharing of resources and information in open network environments. Trust quantification is thus an important issue in dynamic trust management. By considering the fuzziness and uncertainty of trust, in this paper, we propose a fuzzy comprehensive evaluation method to quantify trust along with a trust quantification algorithm. Simulation results show that the trust quantification algorithm that we propose can effectively quantify trust and the quantified value of an entity's trust is consistent with the behavior of the entity.
Highlights
In open network environments, since there is no central authority to monitor and punish misbehaving entities, malicious nodes can cause degradation of service[1]
We propose a trust quantification algorithm based on fuzzy comprehensive evaluation by considering the fuzziness and uncertainty nature of trust
We divide the evaluation set into four levels:{distrust, distrust but not certain, trust but not certain, trust} which corresponds to the intervals of {[0,0.25),[0.25,0.5),[0.5,0.75),[0.75,1]} respectively
Summary
Since there is no central authority to monitor and punish misbehaving entities, malicious nodes can cause degradation of service[1]. Blaze et al and Liu et al proposed some trust computation and evaluation methods[4,5]. Azzedin et al applied trust to manage grid resources in which the trust value of an entity is calculated by combining direct and recommended trust values[6]. Yuan et al proposed a trust value calculation function based on uncertainty reasoning theory[10]. Liang et al proposed to change the weights of direct and recommendation trust value as a means of changing the role of them in trust evaluation[14]. We propose a trust quantification algorithm based on fuzzy comprehensive evaluation by considering the fuzziness and uncertainty nature of trust.
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