@conference {
	title = {Intrusion Detection with Support Vector Machines and Generative Models},
	author = {Baras, John S., Rabi, Maben.},
	year = {2002},
	month = {09/2002},
	abstract = {This paper address the task of detecting intrusions in the form of malicious attach on programs running OD a host computer system by inspecting the trace of system calls made by these programs. We use {\textquoteright}attack-tree{\textquoteright} type generative models for such intrusions to select features that are used by a Support Vector Machine Classifier. Our approach combines the ability of an HMM generative model to handle variable-length strings, i.e. the traces, and the non-asymptotic nature of Support Vector Machines that permits them to work well with small training sets.},
	address = {Sao Paulo, Brazil},
	booktitle = {5th International Conference, ISC 2002, Springer lecture notes in Computer Science (LNCS)},
	pages = {pp 32-47}
}
