Using gap-insensitive string kernel to detect masquerading

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

Volumn 3584 LNAI, Issue , 2005, Pages 323-330

  Yin, Chuanhuan ^a   Tian, Shengfeng ^a   Mu, Shaomin ^a  

^a BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER KEYBOARDS; COMPUTER PROGRAMMING LANGUAGES; COMPUTER SOFTWARE; SECURITY OF DATA; SECURITY SYSTEMS;

COMMAND SEQUENCES; GAP-INSENSITIVE STRING KERNEL; MASQUERADE ATTACKS; UNIX PLATFORM;

COMPUTER CRIME;

EID: 26944447089     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11527503_39     Document Type: Conference Paper

References (11)

1. Schonlau, M., DuMouchel, W., Ju, W.-H., Karr, A.F., Theus, M., Vardi, Y.: Computer intrusion: Detecting masquerades. Statistical Science 16 (2001) 58-74
2. Vapnik, V. N.: The nature of statistical learning theory. Springer, Berlin Heidelberg New York (2000)
3. Maxion, R.A., Townsend, T.N.: Masquerade detection augmented with error analysis. IEEE Transactions on Reliability 53 (2004)
4. Shawe-Taylor, C., Cristianini, N.: Kernel methods for pattern analysis. Cambridge University Press (2004)
5. Haussler, D.: Convolution kernels on discrete structures. Technical report, UC Santa Cruz (1999)
6. Leslie, C., Eskin, E., Noble, W.S.: The spectrum kernel: a string kernel for SVM protein classification. In: Proceedings of the pacific biocomputing Symposium (2002)
7. Leslie, C., Eskin, E., Weston, J., Noble, W.S.: Mismatch string kernels for SVM protein classification. In: Proceedings of Neural Information Processing Systems (2002)
8. Lodhi, H., Saunders, C., Shawe-Taylor, C., Cristianini, N., Watkins, C.: Text classification using string kernels. Journal of Machine Learning Research 2 (2002) 419-444
9. Tian, S.F., Yu, J., Yin, C.H.: Anomaly detection using support vector machines. In: Proceedings of Advances in Neural Networks (2004) 592-597
10. Myers, G.: A fast bit-vector algorithm for approximate string matching based on dynamic programming. Journal of the ACM 3 (1999) 395-415
11. Platt, J.C.: Sequential minimal optimization: A fast algorithm for training support vector machines. Technical Report MSR-TR-98-14, Microsoft Research (1998)