Traffic Classification Features and its Application in DDoS Detection

Ze Yu Xiong

doi:10.4028/www.scientific.net/AMM.380-384.2673

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Traffic Classification Features and its Application in DDoS Detection
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384Traffic Classification Features and its...

Traffic Classification Features and its Application in DDoS Detection

Abstract:

DDoS attacks have relatively low proportion of normal flow in the boundary network at the attack traffic,In this paper,we establish DDoS attack detection method based on defense stage and defensive position, and design and implement collaborative detection of DDoS attacks. Simulation results show that our approach has good timeliness, accuracy and scalability than the single-point detection and route-based distributed detection scheme.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

2673-2676

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.2673

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Online since:

August 2013

Authors:

Ze Yu Xiong

Keywords:

Boundary Network, DDoS Attack, Distribution Detection

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References

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