• DocumentCode
    514759
  • Title

    Detection of Low-rate DDoS Attack Based on Self-Similarity

  • Author

    Sheng, Zhang ; Qifei, Zhang ; Xuezeng, Pan ; Xuhui, Zhu

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Zhejiang Univ., Hangzhou, China
  • Volume
    1
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    333
  • Lastpage
    336
  • Abstract
    Distributed Denial-of-Service (DDos) attack is one of the high threats to the Internet. This paper proposes a measure based on Hurst coefficient to detect DDoS on Low-rate. The result of experiments shows that the measure can detect the DDoS intrusion hided in the normal data traffic in real time.
  • Keywords
    security of data; signal detection; telecommunication security; telecommunication traffic; transport protocols; Hurst coefficient; data traffic; distributed denial-of-service attack; low-rate DDoS attack; self-similarity; Computer crime; DDoS; Detect; Hurst coefficient; Low-rate; Self-Similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6388-6
  • Electronic_ISBN
    978-1-4244-6389-3
  • Type

    conf

  • DOI
    10.1109/ETCS.2010.476
  • Filename
    5458957
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=514759