JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2013, Vol. 43 ›› Issue (6): 53-56.

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Intrusion detection technology based on twin support vector machine

WANG Hao, HUA Ji-xue, FAN Xiao-shi   

  1. School of Air and Missile Defense, Air Force Engineering University, Xi′an 710051, China
  • Received:2013-11-11 Online:2013-12-20 Published:2013-11-11

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Abstract:

To improve the performance of network intrusion detection system, an intrusion detection method based on twin support vector machine(TWSVM) was proposed. The basic principle of network intrusion detection system was introduced, an intrusion detection classifier was proposed and an intrusion detection model based on TWSVM was put forward. Moreover, the intrusion detection system based on TWSVM  was tested by simulation. The experimental results showed that the intrusion detection method based on TWSVM was applicable to the intrusion detection system, for it could detect the computer network security at a high speed and high precision when there were rare sample data.

Key words: network security, intrusion detection, support vector machine, twin support vector machine

CLC Number: 

  • null
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