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Study on enhancing performance of Cloud Trust model with Family Gene technology

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4 Author(s)
TieFang Wang ; Capitial Normal Univ., Beijing, China ; BaoSheng Ye ; YunWen Li ; LiShang Zhu

This paper analyzes the deficiencies of current trust systems based on PKI (Public Key Infrastructure), ambiguity certificate principal information, and complicated identification process. Inspired by biologic gene technique, we propose a novel Cloud Trust model based on Family Gene (CTFG) model. The model answers the existing questions in tradition trust model by adopting the technology of family gene. The concepts and formal definitions of Family Gene in the cloud trust security domains are given. Then, the mathematical models of Family Gene are established. Our theoretical analysis and experimental results show that the model is a good solution to cloud trust domain.

Published in:

Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on  (Volume:9 )

Date of Conference:

9-11 July 2010