• 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