Case-Based Trust Evaluation from Provenance Information

Author

Bai, Quan ; Su, Xing ; Liu, Qing ; Terhorst, Andrew ; Zhang, Minjie ; Mu, Yi

Author_Institution

Sch. of Comput. & Math. Sci., Auckland Univ. of Technol., Auckland, New Zealand

fYear

2011

fDate

16-18 Nov. 2011

Firstpage

336

Lastpage

343

Abstract

Trust is a crucial aspect for open distributed systems. Especially as users may rely on the shared services to make important decisions, it is essential to let them know services´ trustworthiness. Provenance describes the origins and processes that are related to the generation of services. It can greatly enhance transparency and accountability of shared services. In this paper, we focus on how to derive trust information from huge amount of provenance data, and proposed a case-based approach which can estimate services´ trustworthiness from provenance. This approach can greatly utilise the value of provenance, and provide more objective and reasonable trust estimation to users.

Keywords

case-based reasoning; open systems; security of data; accountability enhancement; case-based trust evaluation; open distributed systems; provenance information; service generation; service trustworthiness; transparency enhancement; trust estimation; Data models; Estimation; Forecasting; Knowledge based systems; Temperature measurement; Weather forecasting;

fLanguage

English

Publisher

ieee

Conference_Titel

Trust, Security and Privacy in Computing and Communications (TrustCom), 2011 IEEE 10th International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-4577-2135-9

Type

conf

DOI

10.1109/TrustCom.2011.44

Filename

6120837