• DocumentCode
    2099898
  • Title

    Data Integrity Evaluation in Cloud Database-as-a-Service

  • Author

    Ghazizadeh, Puya ; Mukkamala, R. ; Olariu, Stephan

  • Author_Institution
    Dept. of Comput. Sci., Old Dominion Univ., Norfolk, VA, USA
  • fYear
    2013
  • fDate
    June 28 2013-July 3 2013
  • Firstpage
    280
  • Lastpage
    285
  • Abstract
    Data integrity is a major concern in outsourced IT services like cloud computing. Cloud computing has become popular because of cost reductions, time saving and mobility in service. However data integrity is still an unresolved issue in cloud services. We present an efficient mechanism for evaluating data integrity in cloud database-as-a-service. Our approach is based on inserting fake tuples into the database. In our model the owner of the data is the only trusted party and the server as a service provider or any other users are not trusted. We refer to distrusted party as a potentially malicious attacker. In our approach we define generating functions to create fake tuples with uniform distribution. Malicious attackers are not able to distinguish between fake tuples and real tuples. Our approach does not use encryption which makes it more efficient. We explore the strengths and limitations of these generating functions by describing our approach.
  • Keywords
    cloud computing; data integrity; database management systems; security of data; cloud computing; cloud database-as-a-service; data integrity evaluation; distrusted party; malicious attackers; outsourced IT services; Cloud computing; Encryption; Indexes; Servers; cloud computing; data integrity; outsourced database; security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services (SERVICES), 2013 IEEE Ninth World Congress on
  • Conference_Location
    Santa Clara, CA
  • Print_ISBN
    978-0-7695-5024-4
  • Type

    conf

  • DOI
    10.1109/SERVICES.2013.40
  • Filename
    6655710