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Intrusion Detection System using Traffic Prediction Model
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 97 - Number 23 |
| Year of Publication: 2014 |
| Authors: Amita A. Patil, S. R. Patil |
10.5120/17323-7811
|
Amita A. Patil, S. R. Patil . Intrusion Detection System using Traffic Prediction Model. International Journal of Computer Applications. 97, 23 ( July 2014), 25-28. DOI=10.5120/17323-7811
Abstract
In Wireless Network, we will not limit the boundaries of network because it makes vulnerable association among the users. Therefore, the detection of intrusion attacks in wireless networks is challenging security issues. The various types of attacks can be detected by using various methods. The change or modification in the traffic flow studied in this paper. The ARIMA model is used for the traffic prediction. The ARIMA model gives more accuracy than other traffic prediction models. In this paper, an intrusion detection system is proposed for wireless network. The result shows an effective intrusion detection system which will effectively detect the intrusion attacks.
References
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