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

Volume

2

fYear

2010

fDate

6-7 March 2010

Firstpage

182

Lastpage

185

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ETCS.2010.337

Filename

5460226