An Efficient DoS Attacks Detection Method Based on Data Mining Scheme
To defend against DoS attacks and ensure QoS of web server, we first propose an efficient network anomaly detection method based on TCM-KNN (Transductive Confidence Machines for K-Nearest Neighbors) algorithm. Secondly, we integrate a lot of objective and efficient DoS impact metrics from the perceptions of the end users into TCM-KNN algorithm to build a robust anomaly detection mechanism. Finally, Genetic Algorithm (GA) based instance selection method is introduced to boost the real-time detection performance of our method.
X. Chen "An Efficient DoS Attacks Detection Method Based on Data Mining Scheme", Advanced Materials Research, Vol. 267, pp. 302-307, 2011