• DocumentCode
    2778836
  • Title

    A Taxonomy of Network and Computer Attacks Based on Responses

  • Author

    Wu, Zheng ; Ou, Yang ; Liu, Yujun

  • Author_Institution
    Jetway Inf. Security Ind. Co., Ltd., Wuhan, China
  • Volume
    1
  • fYear
    2011
  • fDate
    24-25 Sept. 2011
  • Firstpage
    26
  • Lastpage
    29
  • Abstract
    In order to solve the problem of building corresponding relationship between attacks and responses scientifically in AIR (Automated Intrusion Response) systems, a taxonomy of network and computer attacks based on response is proposed in this paper. Through analyzing existing researches in attack classification and the special need in intrusion response, the new attack taxonomy is constructed by classifying attacks into three main dimensions and subdividing them from the perspectives of response. The first dimension is aimed to classify localities attacks initiate, the second dimension covers all possible methods attackers adopt, and the classification criteria of the third dimension is selected to highlight harms attacks cause. Through using this taxonomy, the relationship between responses and attacks in AIR systems is built successfully. A case study applies it to typical attacks demonstrates its usefulness. Empirical results show this taxonomy is practicable and useful.
  • Keywords
    computer network security; pattern classification; AIR systems; attack classification; attack taxonomy; automated intrusion response systems; classification criteria; computer attacks; network attacks; Computer bugs; Computers; Grippers; Intrusion detection; Probes; Taxonomy; attack taxonomy; attack techniques; automated intrusion response; host attacks; network attacks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
  • Conference_Location
    Nanjing, Jiangsu
  • Print_ISBN
    978-1-4577-1419-1
  • Type

    conf

  • DOI
    10.1109/ICM.2011.363
  • Filename
    6113347