Advertisement

PGNIDS(Pattern-Graph Based Network Intrusion Detection System) Design

  • Byung-kwan Lee
  • Seung-hae Yang
  • Dong-Hyuck Kwon
  • Dai-Youn Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3982)

Abstract

PGNIDS(Pattern-Graph based Network Intrusion Detection System) generates the audit data that can estimate intrusion with the packets collected from network. An existing IDS(Intrusion Detection System), when it estimates an intrusion by reading all the incoming  packets in network, takes more time than the proposed PGNIDS does. As this proposed PGNIDS not only classifies the audit data into alert and log through ADGM(Audit Data Generation Module) and stores them in the database, but also estimates the intrusion by using pattern graph that classifies IDPM(Intrusion Detection Pattern Module) and event type, Therefore, it takes less time to collect packets and analyze them than the existing IDS, and reacts about abnormal intrusion  real time. In addition, it is possible for this to detect the devious intrusion detection by generating pattern graph.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Lee, B.-K., Jeong, E.-H.: Internet security, Namdoo Books (2005)Google Scholar
  2. 2.
    LBNL’s Network Research GroupGoogle Scholar
  3. 3.
  4. 4.
    Noh, K.-M.: It uses pacp library from linux and packets it catches and it sees v0.3, Linux Korean alphabet document project (2000)Google Scholar
  5. 5.
  6. 6.
  7. 7.
  8. 8.
  9. 9.
    Tone, T.: 1% network principal which decides a success and the failure, Sungandang (2004)Google Scholar
  10. 10.
  11. 11.
    Yang, D.-i., Lee, S.-J.: Information security surveying and actual training, Hanbit Media (2003)Google Scholar
  12. 12.
    Bace, R., Mell, P.: NIST Special Publication on Intrusion Detection SystemsGoogle Scholar
  13. 13.

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Byung-kwan Lee
    • 1
  • Seung-hae Yang
    • 1
  • Dong-Hyuck Kwon
    • 1
  • Dai-Youn Kim
    • 1
  1. 1.Dept of Computer EngineeringKwandong UniversityKorea

Personalised recommendations