• DocumentCode
    3719884
  • Title

    VGuard: A distributed denial of service attack mitigation method using network function virtualization

  • Author

    Carol J. Fung;Bill McCormick

  • Author_Institution
    Computer Science Department, Virginia Commonwealth University, USA
  • fYear
    2015
  • Firstpage
    64
  • Lastpage
    70
  • Abstract
    Distributed denial of service (DDoS) attacks have caused tremendous damage to ISPs and online services. They can be divided into attacks using spoofed IPs and attacks using real IPs (botnet). Among them the attacks from real IPs are much harder to mitigate since the attack traffic can be fabricated to be similar to legitimate traffic. The corresponding DDoS defence strategies proposed in past few years have not been proven to be highly effective due to the limitation of participating devices. However, the emergence of the next generation networking technologies such a network function virtualization (NFV) provide a new opportunity for researchers to design DDoS mitigation solutions. In this paper we propose VGuard, a dynamic traffic engineering solution based on prioritization, which is implemented on a DDoS virtual network function (VNF). The flows from the external zone are directed to different tunnels based on their priority levels. This way trusted legitimate flows are served with guaranteed quality of service, while attack flows and suspicious flows compete for resources with each other. We propose two methods for flow direction: the static method and the dynamic method. We evaluated the performance of both methods through simulation. Our results show that both methods can effectively provide satisfying service to trusted flows under DDoS attacks, and both methods have their pros and cons under different situations.
  • Keywords
    "Computer crime","IP networks","Servers","Dispatching","Hardware","Quality of service"
  • Publisher
    ieee
  • Conference_Titel
    Network and Service Management (CNSM), 2015 11th International Conference on
  • Type

    conf

  • DOI
    10.1109/CNSM.2015.7367340
  • Filename
    7367340