Dr. Khaled
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PublicationsResume
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Self Portrait

A photo in Paris

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Introduction

Dr. Khaled Labib is a graduate of the Department of Applied Science, College of Engineering at the University of California, Davis. My Research focus has been on computer security in general, but more specifically, on using machine learning and statistical techniques for Intrusion Detection. My advisor is Prof. V. Rao Vemuri and his research interest spans many fields including Computer Security, Machine learning and Soft Computing.

Our focus has been primarily on Anomaly-Based Intrusion Detection techniques using Layer 3 (IP) packet header information. These are some of the methods we have been experimenting with:

Soft Computing Used Self-Organizing Maps to detect anomalies in traffic
Statistics Used Principal Component Analysis to reduce dimensionalitly of input feature vectors. Also used K-means, Hierarchical Clustering, Multidimensional Scaling, Independent Component Analysis and Linear Discriminant Analysis to analyze network traffic
Visualization Used Bi-Plots to view a summary of statistics about the traffic. Also used Mosaic Plots and Stars plots to visualize network traffic, some of which were associated with the above methods
Hardware assisted clustering Implemented the k-means clustering algorithm in an FPGA using synthesizable Verilog and used the circuit to cluster network traffic. Achieved two orders of magnitude speed up from software based implementation.

Recently, I have been focusing on creating a unified platform for developing, testing and evaluating many Intrusion Detections methods. In addition I am working on hardware-based clustering of network traffic and comparing its speed with software-based clustering methods.

If you would like to get in touch with me, please search the UC Davis online directory for my email using my last name. I just do not want to put my email here since web crawlers will find it and soon I'll receive tons of spam. Thank you.