Safeguard information infrastructure against DDoS attacks: experiments and modeling

Xiang, Yang and Zhou, Wanlei 2005, Safeguard information infrastructure against DDoS attacks: experiments and modeling, Lecture notes in computer science, vol. 3810, pp. 320-333.

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Title Safeguard information infrastructure against DDoS attacks: experiments and modeling
Author(s) Xiang, Yang
Zhou, Wanlei
Journal name Lecture notes in computer science
Volume number 3810
Start page 320
End page 333
Publisher Springer-Verlag
Place of publication Berlin, Germany
Publication date 2005
ISSN 0302-9743
1611-3349
Summary Nowadays Distributed Denial of Service (DDoS) attacks have made one of the most serious threats to the information infrastructure. In this paper we firstly present a new filtering approach, Mark-Aided Distributed Filtering (MADF), which is to find the network anomalies by using a back-propagation neural network, deploy the defense system at distributed routers, identify and filtering the attack packets before they can reach the victim; and secondly propose an analytical model for the interactions between DDoS attack party and defense party, which allows us to have a deep insight of the interactions between the attack and defense parties. According to the experimental results, we find that MADF can detect and filter DDoS attack packets with high sensitivity and accuracy, thus provide high legitimate traffic throughput and low attack traffic throughput. Through the comparison between experiments and numerical results, we also demonstrate the validity of the analytical model that can precisely estimate the effectiveness of a DDoS defense system before it encounters different attacks.
Language eng
Field of Research 100503 Computer Communications Networks
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2005, Springer-Verlag
Persistent URL http://hdl.handle.net/10536/DRO/DU:30003134

Document type: Journal Article
Collection: School of Information Technology
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