THE NEXT GEN INTRUCTION PREVENTION SYSTEM FOR WIRELESS LAN

Abstract

Now a day a rapid and instant growth of WLAN, wireless intrusion prevention systems have lately become the researcher hotspot. In this paper, we first examine the drawbacks of WLAN and point out the prime 802.11- definite threats, then present the wireless IPS with an intelligent pre-decision engine using mobile agent technology, specially demonstrate the need for mobile agent detection in WLAN. By importing a supporting degree of intrusion plan, this engine can predict and avoid the future attacks and directly respond to these actions. We propose an improved model for conducting attack recognition and making pre-decision. Experimental results showed that the mobile agent detection and predecision engine can not only improve detection but also the prevention performance and most reduce false positives evidently in WLAN.