• DocumentCode
    1753443
  • Title

    An effective privacy protection scheme for cloud computing

  • Author

    Chuang, I-Hsun ; Li, Syuan-Hao ; Huang, Kuan-Chieh ; Kuo, Yau-Hwang

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • fYear
    2011
  • fDate
    13-16 Feb. 2011
  • Firstpage
    260
  • Lastpage
    265
  • Abstract
    With the rapid development of cloud computing, more cloud services are into our daily life, and thus security protection of cloud services, especially data privacy protection, becomes more important. However to perform privacy protection causes huge overhead. Thus it is a critical issue to perform the most suitable protection to decline performance consumption while provide privacy protection. In this paper, the Effective Privacy Protection Scheme (EPPS) is proposed to provide the appropriate privacy protection which is satisfying the user-demand privacy requirement and maintaining system performance simultaneously. At first, we analyze the privacy level users require and quantify security degree and performance of encryption algorithms. Then, an appropriate security composition is derived by the results of analysis and quantified data. Finally, the simulation results show that the EPPS not only fulfills the user-demand privacy but also maintains the cloud system performance in different cloud environments. The execution result of EPPS outperforms other security schemes by 35% to 50%.
  • Keywords
    cloud computing; cryptography; data privacy; user interfaces; cloud computing; cloud services; data privacy; effective privacy protection scheme; encryption algorithms; user-demand privacy requirement; Algorithm design and analysis; Cloud computing; Data privacy; Encryption; Privacy; cloud computing; privacy analysis; privacy requirement; security composition; security quantification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology (ICACT), 2011 13th International Conference on
  • Conference_Location
    Seoul
  • ISSN
    1738-9445
  • Print_ISBN
    978-1-4244-8830-8
  • Type

    conf

  • Filename
    5745789