A Robust Computation Model for Trust Degrees in Trusted Networks
In order to realize trust management in large scale distributed networks, quantification models of direct trust reputation, and indirect trust, are proposed respectively. The direct trust model integrates transaction satisfaction degrees with weights based on trust attenuation coefficient. Weights are set in increasing order to obtain sensitivity to new transactions. The reputation model set nodes whose direct trust evaluation obviously deviates from mean with small weights, to enhance its ability of antiattacking. The indirect trust model uses a dynamic balance coefficient to deal with risks from attacked reputation and small samples of direct transactions.
trusted network direct trust degree reputation indirect trust degree dynamic balance coefficient dynamic weight
Yanfeng Fan Zhixiao Yang Bin Zhang
College of Information Science and Engineering Henan University of Technology Zhengzhou,China
国际会议
太原
英文
194-197
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）