Title :
Trust Model Based on Rewards and Punishment Mechanism
Author :
Xiaoxue, Ma ; Zixian, Wang ; Jing, Bian ; Fei, Liu
Author_Institution :
Comput. Center, Hebei Univ., Baoding, China
Abstract :
With the large-scale, open distributed systems appear, creates a dynamic trust management to make up for lack of a static trust mechanism. However, the existing trust models have the following problems: (1) do not consider the historical behavior enough. (2) Can not effectively prevent malicious behavior. To solve the above problems, an trust model based on rewards and punishment mechanism is presented in this paper. The model is based on historical transactions as well as other users of the recommended confidence-building reward and punishment mechanism, the simulation tests show that the model can effectively identify malicious entities, improve transaction success rate.
Keywords :
open systems; security of data; transaction processing; confidence-building mechanism; dynamic trust management; historical behavior; historical transactions; large-scale open distributed systems; malicious behavior; malicious entities; reward-and-punishment mechanism; transaction success rate; trust model; Computer science; Computer science education; Distributed computing; Educational technology; History; Internet; Large-scale systems; Predictive models; Technology management; Testing; continuous factor; reputation model; rewards and punishment mechanism;
Conference_Titel :
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6388-6
Electronic_ISBN :
978-1-4244-6389-3
DOI :
10.1109/ETCS.2010.337
