• DocumentCode
    3545653
  • Title

    The Methods of Network Traffic Statistical Anomaly Detection Based on Network Processor

  • Author

    Yun, Li ; Ge, Renhua ; Li, Jinghua

  • Author_Institution
    SunYat-sen Univ., Coll. of Inf. Sci. & Technol., Guangzhou, China
  • fYear
    2009
  • fDate
    21-22 Nov. 2009
  • Firstpage
    54
  • Lastpage
    55
  • Abstract
    DDoS attacks has brought severe damage to the Internet Today´s internet security has increasingly become a severe threat. For DDoS attacks characteristics we judge abnormal flow of data by RaiiTa criterion and control flow by token barrels filter to avoid abrupt flow.
  • Keywords
    Internet; computer network security; telecommunication congestion control; telecommunication traffic; DDoS attacks; Internet security; RaiiTa criterion; network processor; network traffic statistical anomaly detection; token barrels filter; Conferences; Information technology; Telecommunication traffic; DDoS attack; RaiiTa; Token barrels filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application Workshops, 2009. IITAW '09. Third International Symposium on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-1-4244-6420-3
  • Electronic_ISBN
    978-1-4244-6421-0
  • Type

    conf

  • DOI
    10.1109/IITAW.2009.22
  • Filename
    5419500
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3545653