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An effective methodology to traceback DDoS attackers.

Lam, Kwok Tai. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (leaves 64-66). / Abstracts in English and Chinese. / Chapter 1 --- Introduction to Network Security via Efficient IP Traceback --- p.10 / Chapter 1.1 --- Motivation --- p.10 / Chapter 1.2 --- DDoS Attacker Traceback Problem --- p.11 / Chapter 1.3 --- Document Roadmap --- p.13 / Chapter 2 --- Background --- p.14 / Chapter 2.1 --- Probabilistic Edge Marking Algorithm --- p.14 / Chapter 2.1.1 --- Probabilistic Edge Marking Procedure --- p.15 / Chapter 2.1.2 --- Attack Graph Construction Procedure --- p.17 / Chapter 2.1.3 --- Advantages and Disadvantages of Algorithm --- p.19 / Chapter 3 --- Attacker Traceback: Linear Topology --- p.22 / Chapter 3.1 --- Determination of Local Traffic Rates --- p.23 / Chapter 3.2 --- Determination of Minimum Stable Time tmin --- p.25 / Chapter 3.3 --- Elimination of Attackers --- p.26 / Chapter 4 --- Attacker Traceback: General Topology --- p.30 / Chapter 4.1 --- Determination of Local Traffic Rates --- p.30 / Chapter 4.2 --- Determination of Minimum Stable Time tmin --- p.33 / Chapter 5 --- Simulations --- p.36 / Chapter 5.1 --- Simulation 1 - Correctness and robustness of estimating the min- imum stable time tmin --- p.37 / Chapter 5.1.1 --- Simulation l.A - Influence on tmin by different packet arrival processes --- p.37 / Chapter 5.1.2 --- Simulation l.B - Influence on tmin by different packet arrival processes under MMPP --- p.38 / Chapter 5.1.3 --- Simulation l.C - Influence on tmin and variance of traffic rate estimation by different pthreshold --- p.39 / Chapter 5.2 --- Simulation 2 - Factors which influence the minimum stable time tmin --- p.40 / Chapter 5.2.1 --- Simulation 2.A - Influence on tmin by different length of the attack path --- p.41 / Chapter 5.2.2 --- Simulation 2.B - Influence on tmin by the relative posi- tions of the attackers --- p.42 / Chapter 5.2.3 --- Simulation 2.C - Influence on tmin by different ATR and different length of the attack path --- p.43 / Chapter 5.3 --- Simulation 3 - Extension to General Network Topology --- p.45 / Chapter 5.3.1 --- Simulation 3.A - Influence on tmin by different ATR and different diameter of the network topology --- p.45 / Chapter 5.3.2 --- Simulation 3.B - Influence on tmin by different number of attackers --- p.46 / Chapter 5.4 --- Simulation 4 - Extension to Internet Topology --- p.47 / Chapter 5.4.1 --- Simulation 4.A - Influence on tminby different diameter of the network topology --- p.49 / Chapter 5.4.2 --- Simulation 4.B - Influence on tmin by different number of attackers --- p.50 / Chapter 6 --- Experiments --- p.51 / Chapter 6.1 --- Experiment 1: Simple DoS Attack --- p.53 / Chapter 6.1.1 --- Experiment l.A - Influence on tmin by different types of DDoS attack --- p.54 / Chapter 6.1.2 --- Experiment l.B - Influence on tmin by different length of the attack path --- p.55 / Chapter 6.2 --- Experiment 2: Coordinated DoS Attack --- p.55 / Chapter 6.2.1 --- Experiment 2.A - Influence on tmin by the relative posi- tions of the attackers --- p.56 / Chapter 6.2.2 --- Experiment 2.B - Influence on tmin by different number of attackers --- p.58 / Chapter 7 --- Related Work --- p.59 / Chapter 8 --- Conclusion --- p.62 / Bibliography --- p.64

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_324239
Date January 2003
ContributorsLam, Kwok Tai., Chinese University of Hong Kong Graduate School. Division of Computer Science and Engineering.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, 66 leaves : ill. ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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