Dimensionality reduction for denial of service detection problems using RBFNN output sensitivity

International Conference on Machine Learning and Cybernetics

Volumn 2, Issue , 2003, Pages 1293-1298

  Ng, Wing W Y ^a   Chang, Rocky K C ^a   Yeung, Daniel S ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Denial of Service (DoS); Feature Selection; Network Intrusion Detection; RBFNN; Sensitivity Analysis

Indexed keywords

COMPUTER SIMULATION; ELECTRONIC COMMERCE; KNOWLEDGE BASED SYSTEMS; SECURITY OF DATA;

DENIAL OF SERVICE (DOS); FEATURE SELECTION; NETWORK INTRUSION DETECTION;

RADIAL BASIS FUNCTION NETWORKS;

EID: 1542316134     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. D. Barbará and S. Jajodia, "Applications of Data Mining in Computer Security", Kluwer Academic Publishers, 2002.
2. R. K. C. Chang, "Defending Against Flooding-Based, Distributed Denial-of-Service Attacks: A Tutorial," IEEE Communications Magazine, vol. 40, no. 10, pages 42-51, 2002.
3. S. Haykin, "Neural Networks: A Comprehensive Foundation", Prentice Hall, 1999.
4. S. Mukkamala and A. H. Sung, "Detecting Denial of Service Attacks Using Support Vector Machines", IEEE Proc. Int. Conference on Fuzzy Systems, pages 1231-1236, 2003.
5. W. W. Y. Ng, D. S. Yeung, Q. Ran and E. C. C. Tsang, "Statistical Output Sensitivity to Input and Weight Perturbations of Radial Basis Function Neural Networks", IEEE Proc. of Int. Conferences on System, Man and Cybernetics, pages 503-508, 2002.
6. W. W. Y. Ng and D. S. Yeung, "Input Dimensionality Reduction for Radial Basis Neural Network Classification Problems Using Sensitivity Measure", Proc. on Int. Conference on Machine Learning and Cybernetics, Beijing, pages 2214-2219, 2002.
7. http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html