Improved Support Vector Machine Wireless Network Security Detection Algorithm Model

DOI

10.2991/emeit.2012.523How to use a DOI?

Keywords

SVM, WLAN, information gain, Intrusion detection

Abstract

This paper proposed a support vector machine SVM algorithm for WLAN intrusion detection, first calculates the information gain of network intrusion data, and selects the characteristics of properties having a greater impact on the classification from the raw data to optimize the parameters of SVM, Finally, an optimized SVM algorithm is used to detect the wireless network data to obtain the behavior of network detection. Simulation results show that model of SVM-based WLAN intrusion detection has a high correct detecting rate, a low negative rate and wrong alarm rate.

Copyright

© 2012, 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  - Xiujian Lv
AU  - ZhiCheng Sun
AU  - Jing Wang
PY  - 2012/09
DA  - 2012/09
TI  - Improved Support Vector Machine Wireless Network Security Detection Algorithm Model
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 2353
EP  - 2356
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.523
DO  - 10.2991/emeit.2012.523
ID  - Lv2012/09
ER  -