TY - GEN
T1 - Context based trust normalization in service-oriented environments
AU - Li, Lei
AU - Wang, Yan
PY - 2010
Y1 - 2010
N2 - With the development of information technology, the issue of trust becomes more and more important. In e-commerce or service-oriented environments, when there are a few sellers or service providers providing the same product/service, the buyer or service client would like to request the trust management authority to provide trust values of sellers or service providers, which are based on the ratings reflecting the quality of previous transactions. In addition, trust is context dependent, i.e. for different context of transactions, there are different factors influencing the trust result. In this paper, we propose a fuzzy comprehensive evaluation based method for building up a projection from the trust ratings in the transaction history of a service provider to an upcoming transaction depending on the similarity between previous transactions and the upcoming one, and the familiarity between each rater and the service client of the upcoming transaction. This process is termed as context based trust normalization. After trust normalization, normalized trust ratings are used for trust evaluation, the results of which would be closely bound to the upcoming transaction. Finally, we introduce the results of our conducted experiments to illustrate how our proposed method can detect some typical risks.
AB - With the development of information technology, the issue of trust becomes more and more important. In e-commerce or service-oriented environments, when there are a few sellers or service providers providing the same product/service, the buyer or service client would like to request the trust management authority to provide trust values of sellers or service providers, which are based on the ratings reflecting the quality of previous transactions. In addition, trust is context dependent, i.e. for different context of transactions, there are different factors influencing the trust result. In this paper, we propose a fuzzy comprehensive evaluation based method for building up a projection from the trust ratings in the transaction history of a service provider to an upcoming transaction depending on the similarity between previous transactions and the upcoming one, and the familiarity between each rater and the service client of the upcoming transaction. This process is termed as context based trust normalization. After trust normalization, normalized trust ratings are used for trust evaluation, the results of which would be closely bound to the upcoming transaction. Finally, we introduce the results of our conducted experiments to illustrate how our proposed method can detect some typical risks.
UR - http://www.scopus.com/inward/record.url?scp=78649964424&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-16576-4_9
DO - 10.1007/978-3-642-16576-4_9
M3 - Conference proceeding contribution
AN - SCOPUS:78649964424
SN - 3642165753
SN - 9783642165757
VL - 6407 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 122
EP - 138
BT - Autonomic and Trusted Computing - 7th International Conference, ATC 2010, Proceedings
A2 - Xie, Bing
A2 - Branke, Juergen
A2 - Sadjadi, S. Masoud
A2 - Zhang, Daqing
A2 - Zhou, Xingshe
PB - Springer, Springer Nature
CY - Berlin; New York
T2 - 7th International Conference on Autonomic and Trusted Computing, ATC 2010
Y2 - 26 October 2010 through 29 October 2010
ER -