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Title |
Denial-of-Service Attack Detection Using Anomaly with Misuse Based Method |
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Author |
R. Suganya |
| Citation |
Vol. 16 No. 4 pp. 124-128 |
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Abstract |
Denial-of-Service attack is an attempt to make a system, machine or network resources unavailable to its user by blocking or denying the services. The Denial-of-Service attack is identified with the help of detection algorithm. The anomaly detection mechanism not provides the better results so the user need to implement the hybrid detection algorithm which is the combination of anomaly detection with misuse based detection. The new techniques have the advantage of reduce the false alarm rate and improve the detection rate. The detection technique use time as a parameter to detect the intrusions. Denial-of-Service attack detection system that uses Multivariate Correlation Analysis for accurate network traffic characterization by extracting the correlations between network traffic features and increase the speedup of the process. |
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Keywords |
Denial-of-Service attack, Anomaly detection, Misuse based detection, Hybrid detection, Multivariate Correlation Analysis. |
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