• DocumentCode
    257198
  • Title

    LAS: An effective anti-spoofing method using existing information

  • Author

    Baobao Zhang ; Jun Bi ; Jianping Wu

  • Author_Institution
    Inst. for Network Sci. & Cyberspace, Tsinghua Univ., Beijing, China
  • fYear
    2014
  • fDate
    4-7 Aug. 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In today´s Internet, users can send packets with forged source IP addresses, called IP Spoofing, which causes many severe problems to the Internet, especially the security problem. Extensive methods have been proposed to prevent IP spoofing. One category of anti-spoofing methods is extra-information-based. The other category of anti-spoofing methods is existing-information-based. The existing-information-based anti-spoofing methods are much easier to deploy than the extra-information-based ones. Thus, we focus on the existing-information-based anti-spoofing methods in this paper. However, the existing existing-information-based anti-spoofing methods perform poorly on preventing IP spoofing. Therefore, in this paper we propose a new existing-information-based anti-spoofing method, named Link-state-based Anti-Spoofing (LAS), which works in a link-state-protocol-based network. LAS provides good effectiveness on preventing IP spoofing as our simulation results show that even if LAS is only deployed on 10% of routers in a link-state-protocol-based network, 80%~99% of spoofing cases in the network can be prevented in general.
  • Keywords
    IP networks; Internet; computer network security; IP spoofing; Internet; LAS; antispoofing method; existing-information-based anti-spoofing methods; link-state-based anti-spoofing; link-state-protocol-based network; security problem; source IP address; Filtering; IP networks; Law; Ports (Computers); Routing protocols; Topology; Anti-spoofing; DDoS; Source address validation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communication and Networks (ICCCN), 2014 23rd International Conference on
  • Conference_Location
    Shanghai
  • Type

    conf

  • DOI
    10.1109/ICCCN.2014.6911764
  • Filename
    6911764