Network intrusion detection using genetic clustering

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

Volumn 3103, Issue , 2004, Pages 1312-1313

  Leon, Elizabeth ^a   Nasraoui, Olfa ^a   Gomez, Jonatan ^b  

^a University of Memphis   (United States)

^b UNIVERSIDAD NACIONAL DE COLOMBIA   (Colombia)

Author keywords

[No Author keywords available]

Indexed keywords

MEMBERSHIP FUNCTIONS; MERCURY (METAL);

FUZZY MEMBERSHIP FUNCTION; NETWORK INTRUSION DETECTION; NICHING TECHNIQUES; UNSUPERVISED CLUSTERING;

INTRUSION DETECTION;

EID: 35048836559     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24855-2_142     Document Type: Article

References (4)

1. R. Duda and P. Hart, Pattern Classification and Scene Analysis. NY: Wiley Interscience, 1973.
2. O. Nasraoui, E. Leon, and R. Krishnapuram, "Unsupervised niche clustering: Discovering an unknown number of clusters in noisy data sets," in Evolutionary Computing in Data Mining, Invited chapter, A. Ghosh and L. C. Jain, Eds, Springer Verlag, 2004.
3. O. Nasraoui and R. Krishnapuram, "A novel approach to unsupervised robust clustering using genetic niching," in Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, pp. 170-175, 2000.
4. E. Leon, O. Nasraoui, and J. Gomez, "Anomaly detection based on unsupervised niche clustering with application to intrusion detection," in Proceedings of the 2004 Congress on Evolutionary Computation, 2004.