TY - GEN
T1 - Online training of SVMs for real-time intrusion detection
AU - Zhang, Zonghua
AU - Shen, Hong
PY - 2004
Y1 - 2004
N2 - To break the strong assumption that most of the training data for intrusion detectors are readily available with high quality, conventional SVM, Robust SVM and one-class SVM are modified respectively in virtue of the idea from Online Support Vector Machine (OSVM) in this paper, and their performances are compared with that of the original algorithms. Preliminary experiments with 1998 DARPA BSM data set indicate that the modified SVMs can be trained online and the results outperform the original ones with less support vectors(SVs) and training time without decreasing detection accuracy. Both of these achievements benefit an effective online intrusion detection system significantly.
AB - To break the strong assumption that most of the training data for intrusion detectors are readily available with high quality, conventional SVM, Robust SVM and one-class SVM are modified respectively in virtue of the idea from Online Support Vector Machine (OSVM) in this paper, and their performances are compared with that of the original algorithms. Preliminary experiments with 1998 DARPA BSM data set indicate that the modified SVMs can be trained online and the results outperform the original ones with less support vectors(SVs) and training time without decreasing detection accuracy. Both of these achievements benefit an effective online intrusion detection system significantly.
UR - http://www.scopus.com/inward/record.url?scp=3042663739&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:3042663739
SN - 0769520510
T3 - Proceedings - International Conference on Advanced Information Networking and Application (AINA)
SP - 568
EP - 573
BT - Proceedings - 18th International Conference on Advanced Information Networking and Applications, AINA 2004 Volume 1 (Regional Papers)
A2 - Barolli, L.
T2 - Proceedings - 18th International Conference on Advanced Information Networking and Applications, AINA 2004
Y2 - 29 March 2004 through 31 March 2004
ER -