Research on trust evaluation of secure bootstrap in trusted computing based on fuzzy set theory

Author

Fu, Li-hua ; Wang, Dan

Author_Institution

Coll. of Comput. Sci., Beijing Univ. of Technol., Beijing, China

Volume

2

fYear

2010

fDate

11-14 July 2010

Firstpage

592

Lastpage

595

Abstract

Trust platform is key technology of trusted computing. How to verify if a model is trusted in theory is a signification research work. In this paper, a trust level evaluation method of trusted computing model based on fuzzy logic is presented. By the similarity-based weighted fuzzy reasoning method, the fuzzy trust value between entities which have no direct recommendation in trust chain can be gained and the trust level of trusted models were evaluated based on the trust value calculated. This paper provides a new valuable way for studying trust evaluation of trusted computing models.

Keywords

fuzzy logic; fuzzy reasoning; fuzzy set theory; security of data; fuzzy logic; fuzzy set theory; secure bootstrap trust evaluation; similarity-based weighted fuzzy reasoning method; trust level evaluation method; trusted computing model; Cognition; Computational modeling; Computers; Cybernetics; Fuzzy logic; Fuzzy reasoning; Machine learning; Chain of trust; Fuzzy logic; Trust evaluation; Trusted computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2010 International Conference on

Conference_Location

Qingdao

Print_ISBN

978-1-4244-6526-2

Type

conf

DOI

10.1109/ICMLC.2010.5580543

Filename

5580543