• DocumentCode
    256663
  • Title

    An Abnormal Network Behavior Detection System Based on Compound Session

  • Author

    Gang He ; Xiaochen Liu ; Xiaochun Wu ; Decheng Yu

  • Author_Institution
    Beijing Key Lab. of Network Syst. Archit. & Convergence, Beijing Univ. of Posts & Telecommun., Beijing, China
  • Volume
    2
  • fYear
    2014
  • fDate
    26-27 Aug. 2014
  • Firstpage
    34
  • Lastpage
    37
  • Abstract
    In recent years, with the rapid development of the Internet on a global scale and the prompt popularization of various App applications, the Internet is increasingly becoming an integral part of people´s lives. Meanwhile various network problems caused by abnormal network behavior have become more prominent than any time before. Furthermore we also have a lot of personal information on the Internet, which will bring us significant losses if are gave away. For that, to find an effective method to detect the abnormal network behavior is becoming more and more important. This paper first introduces a new detection method based on compound session, and then shows the effectiveness of the proposed method. A further objective of this method is to identify the infected host.
  • Keywords
    Internet; computer network security; App applications; Internet; abnormal network behavior detection system; compound session; Data acquisition; Data processing; Internet; Ports (Computers); Probes; Standards; Telecommunication traffic; Compound Session; Hadoop platform; Micro meso and macro statistics; periodic behavior;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-4956-4
  • Type

    conf

  • DOI
    10.1109/IHMSC.2014.111
  • Filename
    6911442