Detecting DDoS Attacks Against Web Server via Lightweight TCM-KNN Algorithm
conferences.sigcomm.org/sigcomm/2008/papers/p497-li.pdf
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In this poster, we firstly put forward to an effective anomaly detection method based on TCM-KNN(Transductive Confidence Machines for K-Nearest Neighbors) algorithm to fulfill DDoS attacks detection task towards ensuring the QoS of web server.
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For each web transaction as mentioned, we also measure five parameters:
(1) one-way delay,
(2) request/response delay,
(3) packet loss,
(4) overall transaction duration
(5) packet variation (jitter)
Jointly, these parameters capture a variety of application QoS requirements.
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