• DocumentCode
    499118
  • Title

    An access-context based method to detect network scanning event in LAN

  • Author

    Wu, Di ; Yin, Ying ; Chen, Xiao-Hua ; Bu, Ning

  • Author_Institution
    State Key Lab. of Inf. Security, Inst. of Software Chinese Acad. of Sci., Beijing, China
  • Volume
    5
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    2781
  • Lastpage
    2786
  • Abstract
    Usually there are leading DNS resolution operations in normal network access scenarios and at the same time the relative connection success ratio is very high; but there is no leading DNS resolution operation in network scanning scenarios and the relative connection success ratio is very low. For convenience in this paper we named the network access connection attempt without leading DNS resolution operation as Suspicious Network Access (SNA). A network scanning detection approach is proposed in this paper by the analysis of SNAs´ response ratio and the randomness of their target IP addresses for each host in LAN. Since the proposed approach only takes the SNAs into account and the interference from normal network access can be decreased effectively, it can detect network scanning attacks with high accuracy and efficiency. The experiment results in simulation network scenario showed that the proposed approach support the detection of TCP-SYN and ICMP type network scanning attacks and also support the detection of stealth network scanning attacks as well.
  • Keywords
    local area networks; security of data; LAN; detect network scanning event; intrusion detection; network monitoring; network security; suspicious network access; Cybernetics; Event detection; Local area networks; Machine learning; Network security; intrusion detection; network monitoring; network scanning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212650
  • Filename
    5212650