• DocumentCode
    160639
  • Title

    TDFA: Traceback-Based Defense against DDoS Flooding Attacks

  • Author

    Foroushani, Vahid Aghaei ; Zincir-Heywood, A. Nur

  • Author_Institution
    Fac. of Comput. Sci., Dalhousie Univ., Halifax, NS, Canada
  • fYear
    2014
  • fDate
    13-16 May 2014
  • Firstpage
    597
  • Lastpage
    604
  • Abstract
    Distributed Denial of Service (DDoS) attacks are one of the challenging network security problems to address. The existing defense mechanisms against DDoS attacks usually filter the attack traffic at the victim side. The problem is exacerbated when there are spoofed IP addresses in the attack packets. In this case, even if the attacking traffic can be filtered by the victim, the attacker may reach the goal of blocking the access to the victim by consuming the computing resources or by consuming a big portion of the bandwidth to the victim. This paper proposes a Trace back-based Defense against DDoS Flooding Attacks (TDFA) approach to counter this problem. TDFA consists of three main components: Detection, Trace back, and Traffic Control. In this approach, the goal is to place the packet filtering as close to the attack source as possible. In doing so, the traffic control component at the victim side aims to set up a limit on the packet forwarding rate to the victim. This mechanism effectively reduces the rate of forwarding the attack packets and therefore improves the throughput of the legitimate traffic. Our results based on real world data sets show that TDFA is effective to reduce the attack traffic and to defend the quality of service for the legitimate traffic.
  • Keywords
    IP networks; computer network security; quality of service; telecommunication traffic; DDoS flooding attacks; TDFA; attack packets; attacking traffic; detection component; distributed denial of service attack; network security problems; packet filtering; packet forwarding rate; quality of service; spoofed IP addresses; trace back component; traceback-based defense; traffic control component; Bandwidth; Computer crime; Filtering; IP networks; Image edge detection; Internet; Protocols; DDoS Attack; Deterministic Flow Marking; IP Traceback; Packet Filtering; Traffic Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications (AINA), 2014 IEEE 28th International Conference on
  • Conference_Location
    Victoria, BC
  • ISSN
    1550-445X
  • Print_ISBN
    978-1-4799-3629-8
  • Type

    conf

  • DOI
    10.1109/AINA.2014.73
  • Filename
    6838719