Mining fuzzy association rules and fuzzy frequency episodes for intrusion detection
作者： Jianxiong Luo , Susan M. Bridges
DOI: 10.1002/1098-111X(200008)15:8<687::AID-INT1>3.0.CO;2-X
关键词:
摘要: Lee, Stolfo, and Mok 1 previously reported the use of association rules frequency episodes for mining audit data to gain knowledge intrusion detection. The integration with fuzzy logic can produce more abstract flexible patterns detection, since many quantitative features are involved in detection security itself is fuzzy. We present a modification algorithm rules, define concept episodes, an original episodes. add normalization step procedure order prevent one instance from contributing than others. also modify learn Experimental results show utility
sci-hub.se 参考文章(14)
Alfonso Valdes, Phillip A. Porras, Live Traffic Analysis of TCP/IP Gateways. network and distributed system security symposium. ,(1998)
Heikki Mannila, Hannu Toivonen, Discovering generalized episodes using minimal occurrences knowledge discovery and data mining. pp. 146- 151 ,(1996)
Ramakrishnan Srikant, Rakesh Agrawal, Fast algorithms for mining association rules very large data bases. pp. 580- 592 ,(1998)
Wenke Lee, Salvatore J. Stolfo, Data mining approaches for intrusion detection usenix security symposium. pp. 6- 6 ,(1998) , 10.21236/ADA401496
Wenke Lee, S.J. Stolfo, K.W. Mok, A data mining framework for building intrusion detection models ieee symposium on security and privacy. pp. 120- 132 ,(1999) , 10.1109/SECPRI.1999.766909
Harold Joseph Highland, The 17th NSCS abstructArtificial Intelligence and Intrusion Detection: Current and Future Directions : Jeremy Frank, University of California, Davis, CA Computers & Security. ,vol. 14, pp. 31- ,(1995) , 10.1016/0167-4048(95)97010-8
Aurobindo Sundaram, An introduction to intrusion detection ACM Crossroads Student Magazine. ,vol. 2, pp. 3- 7 ,(1996) , 10.1145/332159.332161
Ramakrishnan Srikant, Rakesh Agrawal, Mining quantitative association rules in large relational tables international conference on management of data. ,vol. 25, pp. 1- 12 ,(1996) , 10.1145/233269.233311
Chan Man Kuok, Ada Fu, Man Hon Wong, Mining fuzzy association rules in databases international conference on management of data. ,vol. 27, pp. 41- 46 ,(1998) , 10.1145/273244.273257
K. Ilgun, R.A. Kemmerer, P.A. Porras, State transition analysis: a rule-based intrusion detection approach IEEE Transactions on Software Engineering. ,vol. 21, pp. 181- 199 ,(1995) , 10.1109/32.372146