DocumentCode :
1953620
Title :
Study on enhancing performance of Cloud Trust model with Family Gene technology
Author :
Wang, TieFang ; Ye, BaoSheng ; Li, Yun Wen ; Zhu, LiShang
Author_Institution :
Capitial Normal Univ., Beijing, China
Volume :
9
fYear :
2010
fDate :
9-11 July 2010
Firstpage :
122
Lastpage :
126
Abstract :
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.
Keywords :
Internet; public key cryptography; ambiguity certificate principal information; cloud trust model; cloud trust security domain; family gene model; family gene technology; identification process; mathematical model; public key infrastructure; trust systems; Algorithm design and analysis; Analytical models; Australia; Biological system modeling; Cloud Trust Algorithm; Cloud Trust Model; Family Gene;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
Type :
conf
DOI :
10.1109/ICCSIT.2010.5564819
Filename :
5564819
Link To Document :
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