Dynamic Trust Model Based on Extended Subjective Logic

  • Junfeng, Tian (School of Computer Science and Technology, Hebei University) ;
  • Jiayao, Zhang (School of Computer Science and Technology, Hebei University) ;
  • Peipei, Zhang (School of Computer Science and Technology, Hebei University) ;
  • Xiaoxue, Ma (Computer instruction, Hebei University)
  • Received : 2017.07.02
  • Accepted : 2018.03.12
  • Published : 2018.08.31


In Jøsang's trust model, trust evaluation is obtained through operators, but there are problems with the mutuality and asymmetry of trust and the impact of event weight on trust evaluation. Trust evaluation is updated dynamically and continuously with time and the process of interactions, but it has not been reflected in Jøsang's model. Therefore, final trust evaluation is not accurate, and malicious fraud cannot be prevented effectively. This causes the success rate of interaction to be low. To solve these problems, a new dynamic trust model is proposed based on extended subjective logic (DTM-ESL). In DTM-ESL, the event weight and the mutuality of trust are fully considered, the original one-way trust relationship is extended to a two-way trust relationship, discounting and consensus operators are improved, and trust renewal is designed based on event weight. The viability and effectiveness of this new model are verified by simulation experiments.


Supported by : National Natural Science Foundation of China


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