Attack characteristic detection for large scale network based on collaborative planning

DOI

10.2991/asei-15.2015.89How to use a DOI?

Keywords

collaborative planning; network attack; characteristic detection;

Abstract

In the process of research on the characteristic detection method for large scale network attacks, due to the use of the current algorithm for large-scale network attack detection, it is unable to describe the attack characteristics of network attacks or detect in low accuracy. Therefore, an attack detection method for large scale network based on cooperative planning is proposed. The method is based on collaborative planning to design the detection characteristic of large scale network attacks, which is transformed into a space search problem. The difference between the parameters of the flow vector and the normal vector of the normal network spatial data is extracted as characteristics, combining Gauss mixture model with the expectation maximization algorithm, to design Lorenz chaotic asynchronous tracking detection algorithm for modeling and detection of network data stream. The experimental simulation shows that the detection method of large scale network attack detection method has high accuracy and high 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  - Bingzhan Liu
AU  - Lianqin Jia
PY  - 2015/05
DA  - 2015/05
TI  - Attack characteristic detection for large scale network based on collaborative planning
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 440
EP  - 444
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.89
DO  - 10.2991/asei-15.2015.89
ID  - Liu2015/05
ER  -