• DocumentCode
    2349839
  • Title

    Negative Database for Data Security

  • Author

    Patel, Anup ; Sharma, Niveeta ; Eirinaki, Magdalini

  • Author_Institution
    Comput. Eng. Dept., San Jose State Univ., San Jose, CA, USA
  • fYear
    2009
  • fDate
    2-4 April 2009
  • Firstpage
    67
  • Lastpage
    70
  • Abstract
    Data security is a major issue in any Web-based application. There have been approaches to handle intruders in any system, however, these approaches are not fully trustable; evidently data is not totally protected. Real world databases have information that needs to be securely stored. The approach of generating negative database could help solve such problem. A negative database can be defined as a database that contains huge amount of data consisting of counterfeit data along with the real data. Intruders may be able to get access to such databases, but, as they try to extract information, they will retrieve data sets that would include both the actual and the negative data. In this paper we present our approach towards implementing the concept of negative database to help prevent data theft from malicious users and provide efficient data retrieval for all valid users.
  • Keywords
    database management systems; information retrieval; security of data; Web-based application; data retrieval; data security; information extraction; negative database; Application software; Counterfeiting; Cryptography; Data engineering; Data mining; Data security; Database systems; Information retrieval; Information security; Protection; Database; Negative; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Engineering and Information, 2009. ICC '09. International Conference on
  • Conference_Location
    Fullerton, CA
  • Print_ISBN
    978-0-7695-3538-8
  • Type

    conf

  • DOI
    10.1109/ICC.2009.54
  • Filename
    5328931