Nowadays, network infrastructures are supervised by human operators. These operators are submerged by a massive surcharge of information and alerts caused by security mechanisms. In this paper, we focus particularly in anomalies detection systems and propose a multi-levels architecture allowing in one hand, the enhancement of the diagnosis' quality for security administrator support by filtering faulty alerts and on the
Kamel Karoui hasn't uploaded this paper.
Let Kamel know you want this paper to be uploaded.
