Distributed Collaborative DDoS detection method based on traffic classification features

DOI

10.2991/iccsee.2013.24How to use a DOI?

Keywords

Traffic classification,distributed collaborative, DDoS

Abstract

This paper classifies the DDoS attack prevention technology from the view of defense stage and defensive position. DDoS attacks have relatively low proportion of normal flow in the boundary network at the attack traffic, and the characteristics of the network are not very obviously. For these characteristics, design and implement collaborative detection of DDoS attacks method are proposed. Simulation results show that the distributed collaborative DDoS detection method has good timeliness, accuracy and scalability than the single-point detection and route-based distributed detection scheme.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zeyu Xiong
AU  - Yongjun Wang
AU  - XiaoFeng Wang
PY  - 2013/03
DA  - 2013/03
TI  - Distributed Collaborative DDoS detection method based on traffic classification features
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 93
EP  - 96
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.24
DO  - 10.2991/iccsee.2013.24
ID  - Xiong2013/03
ER  -