Title :
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
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;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580543
