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Please use this identifier to cite or link to this item: http://www.lib.ncsu.edu/resolver/1840.16/1743

Title: Detection of Denial of QoS Attacks on DiffServ Networks.
Authors: Mahadik, Vinay A.
Advisors: Dr. Douglas S. Reeves, Committee Chair
Dr. Peng Ning, Committee Member
Dr. Jon Doyle, Committee Member
Dr. Gregory Byrd, Committee Member
Keywords: security
deception
QoS
compromise
statistical intrusion detection
hack
anomaly detection
Issue Date: 21-Aug-2002
Degree: MS
Discipline: Computer Networking
Abstract: In this work, we describe a method of detecting denial of Quality of Service (QoS) attacks on Differentiated Services (DiffServ) networks. Our approach focusses on real time and quick detection, scalability to large networks, and a negligible false alarm generation rate. This is the first comprehensive study on DiffServ monitoring. Our contributions to this research area are 1. We identify several potential attacks, develop/use research implementations of each on our testbed and investigate their effects on the QoS sensitive network flows. 2. We study the effectiveness of several anomaly detection approaches; select and adapt SRI's NIDES statistical inference algorithm and EWMA Statistical Process Control technique for use in our anomaly detection engine. 3. We then emulate a Wide Area Network on our testbed. We measure the effectiveness of our anomaly detection system in detecting the attacks and present the results obtained as a justification of our work. 4. We verify our findings through simulation of the network and the attacks on NS2 (the Network Simulator, version 2). We believe that given the results of the tests with our implementation of the attacks and the detection system, further validated by the simulations, the method is a strong candidate for QoS-intrusion detection for a low-cost commercial deployment.
URI: http://www.lib.ncsu.edu/resolver/1840.16/1743
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