Designs and Simulations of Multi-factor in Trust Evaluation.pdf

International Journal of Database Theory and Application Vol.8, No.1 (2015), pp.235-244 /10.14257/ijdta.204 ISSN: 2005-4270 IJDTA Copyright ? 2015 SERSC Designs and Simulations of Multi-factor in Trust Evaluation Zhao Bin 1,2 , He Jingsha 1,3,* , Huang Na 1 , Zhang Yixuan 1 , Zhou Shiyi 3 and Ji Jie 2 1 School of Software Engineering, Beijing University of Technology, Beijing 100124, China 2 Department of Computer Science, Jining University, Qufu, Shandong 273155, China 3 Information Technology Department, Beijing Development Area Co., Ltd, Beijing 100176, China * jhe@ Abstract Trust Model is an efficient way of resolving the trust problems in open networks in which trust evaluation is a key issue to be addressed in trust management. According to the design rules of trust models, the problem of the lack of dynamic adapt ability in trust evaluating, the lack of effective aggregation of trust and the lack of considerations to incentive mechanisms and so on, this paper introduced the bonus-penalty factor which shows how reliable is the direct trust of the recommend entities to the subject and evaluation reliability of the recommend entities which is used to decide whether the access object would adopt the recommendation of the recommend entities during the calculation of the recommend trust. The measurement of integrated trust solves the weight problem between direct trust and recommendatory trust by introducing balanced weight factor. Finally, we present designs of bonus-penalty function and balanced weight factor and simulations by Matlab software. Keywords: Trust Evaluation; Bonus-penalty Factor; Evaluation Reliability; Balanced Weight; Simulation 1. Introduction As the development of communication and network technologies makes current and future networks become more open, trust has been playing an increasingly more important role in access control in such networks. In network interactions of various kinds, results from