Intrusion Detection System Based on SVM for WLAN

Intrusion detection is a problem of great significance to protecting information systems security, especially in view of the worldwide increasing incidents of cyber-attacks. This paper focus on improving intrusion system in wireless local area network by using Support Vector Machines (SVM). The data that are used in our experiments originated from a computer Lab. SVM performs intrusion detection based on recognized attack patterns. Simulation result show that proposed detection system can recognizes anomalies and raises an alarm. In addition, evaluation produced a better result in terms of the detection efficiency and false alarm rate which may give better coverage, and make the detection more effective.