• DocumentCode
    3507653
  • Title

    Collaborative swarm intelligence based Trusted Computing

  • Author

    Islam, Md Rafiqul ; Habiba, Mansura

  • Author_Institution
    Comput. Sci. Dept., American Int. Univ.-Bangladesh (AIUB), Dhaka, Bangladesh
  • fYear
    2012
  • fDate
    18-19 May 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Security is one of major barriers for cloud computing popularity. For a secured system, along with protection of data storage it is also important to take rapid action to prevent evolving attacks and maintain a self-healing infrastructure. In this paper a security framework has been proposed, where cognitive and cooperative swarm intelligences are used in order to implement reputation system for establishing self-defensive secured multi-layered cloud systems. To implement the reputation system we have devised algorithms to provide better security solution. The uniqueness of our proposed security framework is its cognitive and self-healing nature with the scope of handling data leakage and data availability issue.
  • Keywords
    artificial intelligence; cloud computing; trusted computing; cloud computing; cognitive intelligence; collaborative swarm intelligence; cooperative swarm intelligence; data storage; reputation system; security framework; self-defensive secured multilayered cloud systems; self-healing infrastructure; trusted computing; Security; Dynamic security; Real time swarm intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics, Electronics & Vision (ICIEV), 2012 International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4673-1153-3
  • Type

    conf

  • DOI
    10.1109/ICIEV.2012.6317341
  • Filename
    6317341