To improve network reliability & management in today's high-speed comm
unication networks, we propose an intelligent system using adaptive st
atistical approaches, The system learns the normal behavior (norm) of
the network, Deviations from the norm are detected and the information
is combined in the probabilistic framework of a Bayes network, The pr
oposed system thereby can detect unknown or unseen faults, As demonstr
ated on real network data, this method can detect abnormal behavior be
fore a fault actually occurs, giving the network management system (hu
man or automated) the ability to avoid a potentially serious problem.