• DocumentCode
    1957950
  • Title

    Study of database intrusion detection based on improved association rule algorithm

  • Author

    Yanyan, Zhang ; Yuan, Yao

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Henan Univ. of Urban Constr., Pingdingshan, China
  • Volume
    4
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    673
  • Lastpage
    676
  • Abstract
    Combining with the data mining application in database intrusion detection, for the most representative association rule Apriori algorithm in the data mining technology, this paper presents an improved association rule algorithm, based on which constructs a database intrusion detection system on the basis of association rules, and carries out a small range test. Experimental results show that the system can greatly improve the efficiency of the entire intrusion detection process.
  • Keywords
    data mining; database management systems; security of data; association rule algorithm; data mining application; database intrusion detection; Databases; Intrusion detection; Apriori algorithm; association rules; data mining; database intrusion detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5565031
  • Filename
    5565031