Intrusion detection based on feature transform using neural network

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3037, Issue , 2004, Pages 212-219

  Kim, Wonil ^a   Oh, Se Chang ^b   Yoon, Kyoungro ^c  

^a Sejong University   (South Korea)

^b Sejong Cyber University   (South Korea)

^c Konkuk University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

MERCURY (METAL); METADATA; NETWORK LAYERS; SEPARATION;

ANOMALY DETECTION SYSTEMS; CLUSTERING METHODS; FEATURE SPACE; FEATURE TRANSFORM; HIDDEN LAYERS; NETWORK CONNECTION; THREE-LAYER NEURAL NETWORKS; TRANSFORMATION FUNCTIONS;

INTRUSION DETECTION;

EID: 26844515561     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24687-9_27     Document Type: Article

References (14)

1. th Annual Computer Security Applications Conference Tucson, AZ (1990)
2. Denning, D.: An Intrusion Detection Model. Proceedings of the Seventh IEEE Symposium on Security and Privacy (1986) 119-131
3. Ye, Nong: A Markov chain model of temporal behavior for anomaly detection. Proceedings of the 2000 IEEE Systems, Man, and Cybernetics; Information Assurance and Security Workshop (2000)
4. Eskin, E., Lee, W., Stolfo, S. J.: Modeling system calls for intrusion detection with dynamic, window sizes. Proceedings of DARPA Information Survivability Conference and Exposition II (DISCEX II) (2001)
5. Lee, W., Stolfo, S. J., Mok, K.: A Data Mining Framework for Building Intrusion Detection Models. Proceedings of 1999 IEEE Symposium on Security and Privacy (1999)
6. Portnoy, L., Eskin, E., Stolfo, S.: Intrusion detection with unlabeled data using clustering. Proceedings of ACM CSS Workshop on Data Mining Applied to Security (DMSA 2001) (2001)
7. Eskin, E., Arnold, A., Prerau, M., Portnoy, L., Stolfo, S.: A Geometric Framework for Unsupervised Anomaly Detection: Detecting Intrusions in Unlabeled Data. Data Mining for Security Applications, Kluwer (2002)
8. Dura, R. O., Hart, P. E.: Pattern Classification and Scene Analysis. Wiley-Interscience Publication (1973) 247
9. Tou, J., Heydom, R.: Some Approaches to Optimum Feature Extraction. Computer and Information Sciences II, A'cademic Press, New York (1967)
10. Lee, Te-Won: Independent Component Analysis: Theory and Applications. Kluwer Academic Publishers (1998)
11. th Berkeley Symposium on Probability and Statistics, University of California Press, Berkeley (1967)
12. The third international knowledge discovery and data mining tools competition dataset KDD99-Cup. Available at http: //kdd. ics.uci.edu/databases/ kddcup99/kddcup99 .html (1999)
13. K.Mehrotra, C.K.Mohan, and S.Ranka, Elements of Artificial Neural Networks, MIT Press (1997)
14. th USENIX Security Symposium, San Antonio, TX (1998)