Computer Security: A Machine Learning Approach
作者： Sandeep V. Sabnani , Andreas Fuchsberger
DOI:
关键词:
摘要: On Computer Security: A Machine Learning Approach (Under the supervision of Professor Andreas Fucshberger) In this thesis, we present application machine learning to computer security, particularly intrusion detection. We analyse two algorithms (NBTree and VFI) for task detecting intrusions compare their relative performances. then comment on suitability NBTree algorithm detection based its high accuracy recall. finally state usefulness field security also itself.
techtarget.com 参考文章(61)
J. Matoušek, On Approximate Geometric k -Clustering Discrete and Computational Geometry. ,vol. 24, pp. 61- 84 ,(2000) , 10.1007/S004540010019
Tadeusz Pietraszek, Axel Tanner, Data mining and machine learning-Towards reducing false positives in intrusion detection Information Security Technical Report. ,vol. 10, pp. 169- 183 ,(2005) , 10.1016/J.ISTR.2005.07.001
D. Eppstein, M. S. Paterson, F. F. Yao, On Nearest-Neighbor Graphs Discrete and Computational Geometry. ,vol. 17, pp. 263- 282 ,(1997) , 10.1007/PL00009293
Nigel Williams, Sebastian Zander, Grenville Armitage, A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification ACM SIGCOMM Computer Communication Review. ,vol. 36, pp. 5- 16 ,(2006) , 10.1145/1163593.1163596
Wenke Lee, Salvatore J. Stolfo, A framework for constructing features and models for intrusion detection systems ACM Transactions on Information and System Security. ,vol. 3, pp. 227- 261 ,(2000) , 10.1145/382912.382914
John Makhoul, Francis Kubala, Richard Schwartz, Ralph Weischedel, PERFORMANCE MEASURES FOR INFORMATION EXTRACTION ,(2007)
Ill-Young Weon, Doo Heon Song, Chang-Hoon Lee, Effective intrusion detection model through the combination of a signature-based intrusion detection system and a machine learning-based intrusion detection system Journal of Information Science and Engineering. ,vol. 22, pp. 1447- 1464 ,(2006)
E. Martin, Tao Xie, Inferring access-control policy properties via machine learning ieee international workshop on policies for distributed systems and networks. pp. 235- 238 ,(2006) , 10.1109/POLICY.2006.19
Surendra K. Singhi, Huan Liu, Feature subset selection bias for classification learning Proceedings of the 23rd international conference on Machine learning - ICML '06. pp. 849- 856 ,(2006) , 10.1145/1143844.1143951
J. Ross Quinlan, C4.5: Programs for Machine Learning ,(1992)