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ÇѱÛÁ¦¸ñ(Korean Title) |
Fast Detection of Distributed Global Scale Network Attack Symptoms and Patterns in High-speed Backbone Networks |
¿µ¹®Á¦¸ñ(English Title) |
Fast Detection of Distributed Global Scale Network Attack Symptoms and Patterns in High-speed Backbone Networks |
ÀúÀÚ(Author) |
Sun-Ho Kim
Byeong-Hee Roh
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¿ø¹®¼ö·Ïó(Citation) |
VOL 02 NO. 03 PP. 0135 ~ 0149 (2008. 07) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
Traditional attack detection schemes based on packets or flows have very high computational complexity. And, network based anomaly detection schemes can reduce the complexity, but they have a limitation to figure out the pattern of the distributed global scale network attack. In this paper, we propose an efficient and fast method for detecting distributed global-scale network attack symptoms in high-speed backbone networks. The proposed method is implemented at the aggregate traffic level. So, our proposed scheme has much lower computational complexity, and is implemented in very high-speed backbone networks. In addition, the proposed method can detect attack patterns, such as attacks in which the target is a certain host or the backbone infrastructure itself, via collaboration of edge routers on the backbone network. The effectiveness of the proposed method are demonstrated via simulation. |
Å°¿öµå(Keyword) |
Network security
DDoS
attack traffic modeling
attack detection
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