Applying data mining of fuzzy association rules to network intrusion detection

Proceedings of the 2006 IEEE Workshop on Information Assurance

Volumn 2006, Issue , 2006, Pages 100-107

  El Semary, Aly ^a   Edmonds, Janica ^a   González Pino, Jesús ^a   Papa, Mauricio ^a  

^a UNIVERSITY OF TULSA   (United States)

Author keywords

Data mining; Fuzzy logic; Intrusion detection

Indexed keywords

DATA SETS; KUOK'S ALGORITHMS; NETWORK INTRUSION DETECTION; NETWORK TRAFFIC;

ALGORITHMS; DATA MINING; INFERENCE ENGINES; INTELLIGENT AGENTS; SECURITY OF DATA; TELECOMMUNICATION TRAFFIC;

FUZZY SETS;

EID: 33845947480     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. L. A. Zadeh, "Making computers think like people," in IEEE Spectrum, p. 26, August 1984.
2. L. A. Zadeh, "Fuzzy logic," vol. 21, no. 4, pp. 83-93, 1988.
3. H. A. Hosmer, "Security is fuzzy! applying the fuzzy logic paradigm to the multipolicy paradigm," in 1992-93 Workshop on New Secuity Paradigms, (Little Compton, Rhode Island), pp. 175-184, August 1993.
4. J. Gomez and D. Dasgupta, "Evolving fuzzy classifiers for intrusion detection," in 3rd Annual Information Assurance Workshop, (West Point, New York), 2002.
5. A. El-Semary, J. Edmonds, J. González-Pino, and M. Papa, "A framework for hybrid fuzzy logic intrusion detection systems," in 2005 IEEE International Conference on Fuzzy Systems, (Reno, Nevada), pp. 325-330, 2005.
6. A. El-Semary, J. Edmonds, J. González-Pino, and M. Papa, "Implementation of a hybrid intrusion detection system using fuzzyjess," in 7th International Conference on Enterprise Information Systems, (Miami, Florida), pp. 390-393, 2005.
7. W. Lee, K. W. Mok, and S. J. Stolfo, "Mining audit data to build intrustion detection models," in Fourth International Conference on Knowledge Discovery and Data Mining, (New York City, New York), pp. 66-72, August 1998.
8. J. Luo and S. Bridges, "Mining fuzzy association rules and fuzzy frequency episodes for intrusion detection," in International Journal of Intelligent Systems, pp. 687-703, John Wiley & Sons, 2000.
9. R. Agrawal and R. Srikant, "Fast algorithms for mining association rules," in 20th International Conference on Very Large Databases, (Santiago, Chile), pp. 487-499, September 1994.
10. R. Srikant and R. Agrawal, "Mining quantitative association rules in large relational tables," in 996 ACM SIGMOD International Conference on Management of Data, pp. 1-12, 1996.
11. S. M. Bridges and R. B. Vaughn, "Fuzzy data mining and genetic algorithms applied to intrusion detection," in 23rd National Information Systems Security Conference, (Baltimore, Maryland), 2000.
12. C. Kuok, A. Fu, and M. Wong, "Mining fuzzy association rules in databases," vol. 27, no. 1, pp. 41-46, 1998.
13. G. Florez, S. Bridges, and R. Vaughn, "An improved algorithm for fuzzy data mining for intrusion detection," in North American Fuzzy Information Processing Society Conference (NAFIPS 2002), (New Orleans, Louisiana), June 2002.
14. S. Ovchinnikov, "Fuzzy sets and secure computer systems," in Workshop on New Security Paradigms, (Little Compton, Rhode Island), pp. 54-62, 1994.
15. S. J. Stolfo, W. Lee, P. K. Chan, W. Fan, and E. Eskin, "Data mining-based intrusion detectors: An overview of the columbia ids project," vol. 30, no. 4, pp. 5-14, 2001.
16. J. E. Dickerson and J. A. Dickerson, "Fuzzy network profiling for intrusion detection," in NAFIPS 19th International Conference of the North American Fuzzy Information Processing Society, (Atlanta, Georgia), pp. 301-306, 2000.
17. J. González-Pino, J. Edmonds, and M. Papa, "Attribute selection using information gain for a fuzzy logic intrusion detection system," in SPIE Symposium on Defense and Security - Data mining, intrusion detection, information assurance and data networks security 2006, (Orlando, Florida), pp. 121-130, April 2006.
18. R. Orchard, "Fuzzy reasoning in jess: The fuzzyj toolkit and fuzzyjess," in ICEIS 2001, 3rd International Conference on Enterprise Information Systems, (Setubal, Portugal), pp. 533-542, 2001.
19. E. J. Friedman-Hill, "Jess, the Java expert system shell," in Sandia National Laboratories, (http://herzberg.ca.sandia.gov/jess).
20. J. W. Haines, R. P. Lippmann, D. J. Fried, E. Tran, S. Boswell, and M. A. Zissman, "1999 darpa intrusion detection system evaluation: Design and procedures," in MIT Lincoln Laboratory Technical Report.
21. L. Laboratory, "Lincoln laboratory data sets," in Massachusetts Institute of Technology, (http://www.ll.mit.edu/IST/ideval/ data/1999).