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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jie Wang Phan, R.C.-W. Whitley, J.N. Parish, D.J. |
| Copyright Year | 2010 |
| Abstract | Distributed Denial of Service (DDoS) is a serious computer network attack which can cause extreme performance degradation on the victim server. This paper presents a formal and methodical way of modeling DDoS attack by the method of Augmented Attack Tree (AAT), and presents an AAT-based attack detection algorithm. This modeling explicitly captures the particular subtle incidents triggered by DDoS and the corresponding state transitions from the view of the network traffic transmission on the primary victim server. Two major contributions are given in this paper: (1) an AAT-based DDoS model (ADDoSAT) is developed to assess the potential threat from the malicious packets transmission on the primary victim server and to facilitate the detection of such attacks; (2) an AAT-based bottom-up detection algorithm is proposed to detect all kinds of attacks based on AAT modeling. |
| Starting Page | 1009 |
| Ending Page | 1014 |
| File Size | 317837 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424475476 |
| e-ISBN | 9781424475483 |
| DOI | 10.1109/CIT.2010.185 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-29 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Pediatrics Databases Image edge detection Augmented Attack Tree Bottom-up DDoS Servers Floods Detection Algorithm Computer crime Detection algorithms Modeling |
| Content Type | Text |
| Resource Type | Article |
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