• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Fast Detection of Distributed Global Scale Network Attack Symptoms and Patterns in High-speed Backbone Networks

Vol. 2, No. 3, June 24, 2008
10.3837/tiis.2008.03.001, Download Paper (Free):

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.


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Cite this article

[IEEE Style]
S. H. Kim and B. Roh, "Fast Detection of Distributed Global Scale Network Attack Symptoms and Patterns in High-speed Backbone Networks," KSII Transactions on Internet and Information Systems, vol. 2, no. 3, pp. 135-149, 2008. DOI: 10.3837/tiis.2008.03.001.

[ACM Style]
Sun Ho Kim and Byeong-hee Roh. 2008. Fast Detection of Distributed Global Scale Network Attack Symptoms and Patterns in High-speed Backbone Networks. KSII Transactions on Internet and Information Systems, 2, 3, (2008), 135-149. DOI: 10.3837/tiis.2008.03.001.

[BibTeX Style]
@article{tiis:19789, title="Fast Detection of Distributed Global Scale Network Attack Symptoms and Patterns in High-speed Backbone Networks", author="Sun Ho Kim and Byeong-hee Roh and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2008.03.001}, volume={2}, number={3}, year="2008", month={June}, pages={135-149}}