IDENTIFICATION AND INVESTIGATION OF THE
USER SESSION FOR LAN CONNECTIVITY VIA
ENHANCED PARTITION APPROACH OF
CLUSTERING TECHNIQUES
International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), 2 (6):
41-49 (December 2012)DOI: 10.5121/ijcseit.2012.2604
Abstract
This paper mainly presents some technical discussions on the identification and analyze of “LAN usersessions”.
The identification of a user-session is non trivial. Classical methods approaches rely on
threshold based mechanisms. Threshold based techniques are very sensitive to the value chosen for the
threshold, which may be difficult to set correctly. Clustering techniques are used to define a novel
methodology to identify LAN user-sessions without requiring an a priori definition of threshold values. We
have defined a clustering based approach in detail, and also we discussed positive and negative of this
approach, and we apply it to real traffic traces. The proposed methodology is applied to artificially
generated traces to evaluate its benefits against traditional threshold based approaches. We also analyzed
the characteristics of user-sessions extracted by the clustering methodology from real traces and study
their statistical properties.