NEURAL NETWORK BASED ANOMALY DETECTION IN COMPUTER NETWORKS: A NOVEL TRAINING PARADIGM

16th International Conference on Computer Applications in Industry and Engineering 2003, CAINE 2003

Volumn , Issue , 2003, Pages 50-53

  Sharafat, Ahmad R ^a   Rasti, Mehdi ^b   Yazdian, Ali ^a  

^a TARBIAT MODARES UNIVERSITY   (Iran)

^b IRAN TELECOMMUNICATION RESEARCH CENTER   (Iran)

Author keywords

Anomaly Detection; Behavior Training Paradigm; Intrusion Detection System; Neural Network

Indexed keywords

BACKPROPAGATION; COMPUTER CRIME; COMPUTER NETWORKS; CONFORMAL MAPPING; SELF ORGANIZING MAPS;

ABNORMAL BEHAVIOR; ANOMALY DETECTION; ANOMALY DETECTION SYSTEMS; BACK-PROPAGATION NEURAL NETWORKS; BEHAVIOR TRAINING PARADIGM; INTRUSION DETECTION SYSTEMS; NETWORK-BASED; NEURAL-NETWORKS; NORMAL BEHAVIOR; SELF-ORGANIZING-MAPS;

INTRUSION DETECTION;

EID: 33745501614     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. H. Debar, M. Dacier, and A. Wespi, Towards a Taxonomy of Intrusion-Detection Systems, IBM Research Report, RZ 3030 (#93076), 06/01/98, Zurich, 1998.
2. A. R. Sharafat and M. Rasti, "Real time anomaly detection in computer networks using self organizing maps and back propagation neural networks, " Proceedings of the 1ST 2003, Isfahan, Iran, pp. 552-555, August 2003.
3. P. Lichodzijewski, A. N. Zincir-Heywood, and M. I. Heywood, "Dynamic intrusion detection using self-organizing maps, " Proceedings of the 14* Annual Canadian Information Technology Security Symposium - CITSS 2002, pp. 127-131, 2002.
4. W. Lee, S. J. Stolfo, and K. W. Mok, "Mining in a dataflow environment: experience in network intrusion detection, " in Knowledge Discovery and Data Mining Journal, pp. 114-124, 1999.
5. H. Javitz and A. Valdes, "The SRI IDES statistical anomaly detector, " Proceedings of the IEEE Symposium in Security and Privacy, Oakland, CA, May 1991.
6. P. Lichodzijewski, A. N. Zincir-Heywood, and M. I. Heywood, "Host-based intrusion detection using self organizing maps, " Proceedings of the 2002 IEEE World Congress on Computational Intelligence, pp. 1714-1719, 2002.
7. A. K. Ghosh, J. Wanken, and F. Charron, "Detecting anomalous and unknown intrusion against programs, " Proceedings of the IEEE Conf on Security Applications, pp. 259-267, December 1998.
8. K. Labib and R. Venmuri, "NSOM: a real-time networked based intrusion detection system using self-organizing maps, " Available [online]: http://www.cs.ucdavis, edu/~vemuri/papers/som-ids.pdf.
9. B. Rahodes, J. Mahaffey, and J. Canady, "Multiple self organizing maps for intrusion detection system, " Proceedings of the NISSC Conference, 2000.
10. B. V. Nguyen, "Self organizing map (SOM) for anomaly detection, " Available [Online]: http://132.235.28.162/bnguyen/papers/IDS_SOM.pdf.
11. DARPA Off-Line Intrusion Detection Evaluation Schedule, Available [online]: http://www.ll.mit.edu/IST/ideval/docs/1998/schedule.html
12. The Third International Knowledge Discovery and Data Mining Tools Competition, Available [online]: http://kdd.ics.uci.edu/databases/kddcup99.kddcup99.html