• DocumentCode
    3497954
  • Title

    IP Traceback Methodology Using Markov Chain and Bloom Filter in 802.16e

  • Author

    Do Hoon Kim ; Hoh, P.I. ; Yoon, Byungsik

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Korea Univ., Seoul
  • Volume
    2
  • fYear
    2008
  • fDate
    11-13 Nov. 2008
  • Firstpage
    454
  • Lastpage
    459
  • Abstract
    Recently, network resource is extremely vulnerable to DDoS attacks which has become a pressing problem due to scarce an efficient method to locate the real attacker. Especially, the more network topology advanced and complex such as 802.16e (WiBro), IP traceback is difficult. According to, in this paper, the IP Traceback methodology using Markov chain based on XOR operation is proposed in 802.16e. Also the paper provides a traceback method including: receiving data including access control router information according to a path of an attacker; filtering the data to hash the data, and storing the resultant hashed information; determining whether the data is normally received on the basis of the hashed information; and predicting a path loss on the basis of the determination result. Therefore, it is possible to perform an accurate IP traceback using a probabilistic packing marking method and a hash-based traceback method.
  • Keywords
    IP networks; Markov processes; cryptography; telecommunication network topology; wireless LAN; 802.16e; DDoS attacks; IP traceback; Markov chain; WiBro; bloom filter; hash-based traceback; network resource; network topology; probabilistic packing marking; Access control; Computer crime; Computer science; IP networks; Information filtering; Information filters; Information technology; Network topology; Pressing; Protocols; 802.16e; Bloom Filter; IP Traceback; Markov Chain; Probabilistic Packet Marking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on
  • Conference_Location
    Busan
  • Print_ISBN
    978-0-7695-3407-7
  • Type

    conf

  • DOI
    10.1109/ICCIT.2008.274
  • Filename
    4682283