• DocumentCode
    172869
  • Title

    On Deletion of Outsourced Data in Cloud Computing

  • Author

    Zhen Mo ; Qingjun Xiao ; Yian Zhou ; Shigang Chen

  • Author_Institution
    Dept. of Comput. & Inf. Sci. & Eng., Univ. of Florida, Gainesville, FL, USA
  • fYear
    2014
  • fDate
    June 27 2014-July 2 2014
  • Firstpage
    344
  • Lastpage
    351
  • Abstract
    Data security is a major concern in cloud computing. After clients outsource their data to the cloud, will they lose control of the data? Prior research has proposed various schemes for clients to confirm the existence of their data on the cloud servers, and the goal is to ensure data integrity. This paper investigates a complementary problem: When clients delete data, how can they be sure that the deleted data will never resurface in the future if the clients do not perform the actual data removal themselves? How to confirm the non-existence of their data when the data is not in their possession? One obvious solution is to encrypt the outsourced data, but this solution has a significant technical challenge because a huge amount of key materials may have to be maintained if we allow fine-grained deletion. In this paper, we explore the feasibility of relieving clients from such a burden by outsourcing keys (after encryption) to the cloud. We propose a novel multi-layered key structure, called Recursively Encrypted Red-black Key tree (RERK), that ensures no key materials will be leaked, yet the client is able to manipulate keys by performing tree operations in collaboration with the servers. We implement our solution on the Amazon EC2. The experimental results show that our solution can efficiently support the deletion of outsourced data in cloud computing.
  • Keywords
    cloud computing; cryptography; data integrity; trees (mathematics); Amazon EC2; RERK; cloud computing; data integrity; data security; encryption; fine-grained deletion; multilayered key structure; outsourced data detection; recursively encrypted red-black key tree; Data privacy; Encryption; Materials; Polynomials; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    978-1-4799-5062-1
  • Type

    conf

  • DOI
    10.1109/CLOUD.2014.54
  • Filename
    6973760