This paper presents a novel traffic classification approach which classifies TCP connections with help of observable Markov models. As traffic properties, payload length, direction...
1 A new method for detecting anomalies in the usage of protocols in computer networks is presented in this work. The proposed methodology is applied to TCP and disposed in two step...
Hidden Markov Model (HMM) based applications are common in various areas, but the incorporation of HMM's for anomaly detection is still in its infancy. This paper aims at cla...
In today's Internet, a large part of the traffic is carried using the TCP transport protocol. Characterization of the variations of TCP traffic is thus a major challenge, bot...
The automatic detection of applications associated with network traffic is an essential step for network security and traffic engineering. Unfortunately, simple port-based classif...