• DocumentCode
    3549468
  • Title

    An experimental evaluation to determine if port scans are precursors to an attack

  • Author

    Panjwani, Susmit ; Tan, Stephanie ; Jarrin, Keith M. ; Cukier, Michel

  • Author_Institution
    Dept. of Mech. Eng., Maryland Univ., College Park, MD, USA
  • fYear
    2005
  • fDate
    28 June-1 July 2005
  • Firstpage
    602
  • Lastpage
    611
  • Abstract
    This paper describes an experimental approach to determine the correlation between port scans and attacks. Discussions in the security community often state that port scans should be considered as precursors to an attack. However, very few studies have been conducted to quantify the validity of this hypothesis. In this paper, attack data were collected using a test-bed dedicated to monitoring attackers. The data collected consist of port scans, ICMP scans, vulnerability scans, successful attacks and management traffic. Two experiments were performed to validate the hypothesis of linking port scans and vulnerability scans to the number of packets observed per connection. Customized scripts were then developed to filter the collected data and group them on the basis of scans and attacks between a source and destination IP address pair. The correlation of the filtered data groups was assessed. The analyzed data consists of forty-eight days of data collection for two target computers on a heavily utilized subnet.
  • Keywords
    IP networks; computer crime; telecommunication security; telecommunication traffic; ICMP scans; IP address; attack data collection; filtered data groups; management traffic; port scans; vulnerability scans; Data analysis; Data security; Educational institutions; Engineering profession; Filtering; Filters; Joining processes; Mechanical engineering; Monitoring; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable Systems and Networks, 2005. DSN 2005. Proceedings. International Conference on
  • Print_ISBN
    0-7695-2282-3
  • Type

    conf

  • DOI
    10.1109/DSN.2005.18
  • Filename
    1467834