A differentiated one-class classification method with applications to intrusion detection

Author:

Kang Inho,Jeong Myong K.,Kong Dongjoon

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference20 articles.

1. Application of SVM and ANN for intrusion detection;Chen;Computers and Operations Research,2005

2. Forrest, S., Hofmeyr, S A., Somayaji, A., Longstaff, T A. (1996). A sense of self for UNIX processes. In Proceedings of the 1996 IEEE symposium on security and privacy.

3. A clustering-based method for unsupervised intrusion detections;Jiang;Pattern Recognition Letters,2006

4. Lee, W., Stolfo, S J. (1998). Data mining approaches for intrusion detection. In Proceedings of the 7th USENIX security symposium San Antonio, Texas.

5. Lee, W., Stolfo, S J., Chan, P K. (1997). Learning patterns from Unix process execution traces for intrusion detection. In Proceedings of AAAI97 workshop on AI methods in fraud and risk management.

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