Slimane Mekaoui

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In this paper, we present the application of the well-known Kalman Optimal Filter to the Traffic Matrix (TM) of an IP Telecommunications network in order to sense and localize anomalies. At the first step, the application did not reveal significant anomalies with high dynamics activities through the network. As a second step, we simulated real increases of(More)
This paper deals with a hybrid approach of the Kalman Filtering (Kalman) and the Hidden Markov Modeling (HMM). We have developed a hybrid algorithm between both modeling techniques for accurate estimation of the Traffic Matrix (TM) of a large IP Network (Abilene). This algorithm is entirely devoted to the precise estimation of the Traffic Matrix of the IP(More)
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