An evaluation of machine learning techniques in intrusion detection
Christina Mei-Fang Lee · 2007
I would like to thank Gabor Karsai, my advisor, for all of his help on this project. Our discussions on intrusion detection and machine learning techniques allowed me to recognize areas I had overlooked and pointed out interesting areas to explore. I would also like to thank Dr. Fisher, my second reader, for his input on the experiments and thesis background. I would like to thank Eric Hall for the the information he provided me on network topology. In addition, Bradley Malin gave me many useful suggestions on evaluation methods such as ROC curves and cost curves. I would also like to thank those that attended my pizza lecture who asked questions and gave comments. In addition, I would like to thank Sean Duncavage for his comments about neural networks. This research was supported by a Graduate Assistantship sponsored by NASA and an NSF grant.