• DocumentCode
    2446807
  • Title

    SafeVanish: An Improved Data Self-Destruction for Protecting Data Privacy

  • Author

    Zeng, Lingfang ; Shi, Zhan ; Xu, Shengjie ; Feng, Dan

  • Author_Institution
    Inf. Storage Div., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2010
  • fDate
    Nov. 30 2010-Dec. 3 2010
  • Firstpage
    521
  • Lastpage
    528
  • Abstract
    In the background of cloud, self-destructing data mainly aims at protecting the data privacy. All the data and its copies will become destructed or unreadable after a user-specified period, without any user intervention. Besides, anyone cannot get the decryption key after timeout, neither the sender nor the receiver. The Washington´s Vanish system is a system for self-destructing data under cloud computing, and it is vulnerable to “hopping attack” and “sniffer attack”. We propose a new scheme in this paper, called Safe Vanish, to prevent hopping attacks by way of extending the length range of the key shares to increase the attack cost substantially, and do some improvement on the Shamir Secret Sharing algorithm implemented in the Original Vanish system. We present an improved approach against sniffing attacks by using the public key cryptosystem to protectt from sniffing operations. In addition, we evaluate analytically the functionality of the proposed Safe Vanish system.
  • Keywords
    cloud computing; data privacy; public key cryptography; SafeVanish; Shamir secret sharing algorithm; Washington vanish system; cloud computing; data privacy; hopping attack; improved data self-destruction; original vanish system; public key cryptosystem; sniffing attack; Cloud computing; Encryption; Equations; IP networks; Indexes; Mathematical model; Data Privacy; Data Self-Destruction; Vanish;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing Technology and Science (CloudCom), 2010 IEEE Second International Conference on
  • Conference_Location
    Indianapolis, IN
  • Print_ISBN
    978-1-4244-9405-7
  • Electronic_ISBN
    978-0-7695-4302-4
  • Type

    conf

  • DOI
    10.1109/CloudCom.2010.21
  • Filename
    5708495