• DocumentCode
    2410896
  • Title

    Data Mining for Security Applications

  • Author

    Thuraisingham, Bhavani ; Khan, Latifur ; Masud, Mohammad M. ; Hamlen, Kevin W.

  • Author_Institution
    Univ. of Texas at Dallas, Dallas, TX
  • Volume
    2
  • fYear
    2008
  • fDate
    17-20 Dec. 2008
  • Firstpage
    585
  • Lastpage
    589
  • Abstract
    In this paper we discuss various data mining techniques that we have successfully applied for cyber security. These applications include but are not limited to malicious code detection by mining binary executables, network intrusion detection by mining network traffic, anomaly detection, and data stream mining. We summarize our achievements and current works at the University of Texas at Dallas on intrusion detection, and cyber-security research.
  • Keywords
    data mining; security of data; anomaly detection; association rule mining; binary executable mining; cyber security; data mining; data stream mining; link analysis; malicious code detection; network intrusion detection; network traffic mining; security application; Application software; Computer hacking; Computer networks; Computer security; Computer viruses; Data mining; Data security; Intrusion detection; National security; Terrorism; data mining; intrusion detection; security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded and Ubiquitous Computing, 2008. EUC '08. IEEE/IFIP International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3492-3
  • Type

    conf

  • DOI
    10.1109/EUC.2008.62
  • Filename
    4755289
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2410896