DDoS Attack Detection Algorithm Based on IP Entropy Model

DOI

10.2991/iiicec-15.2015.43How to use a DOI?

Keywords

DDoS detection; destination IP entropy; unexpected traffic; membership function

Abstract

Put forward a DDoS (Distributed Deny of Service) attack detection algorithm based on IP entropy model. Through the establishment of destination IP Entropy model, setting flow and entropy threshold with membership function, checking conditions of DDoS attacks step by step. The experimental results show that the algorithm can accurately detect DDoS attacks, and it can accurately distinguish DDoS flow and unexpected traffic, which has improved the detection rate and detection efficiency.

Copyright

© 2015, 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  - Xintong Wang
AU  - Guqing Liu
AU  - Jungang Yang
AU  - Jinzhi Ran
PY  - 2015/03
DA  - 2015/03
TI  - DDoS Attack Detection Algorithm Based on IP Entropy Model
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 179
EP  - 182
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.43
DO  - 10.2991/iiicec-15.2015.43
ID  - Wang2015/03
ER  -