The present invention discloses a computer implemented method for developing an anomaly detector which is adapted to detect/predict anomaly in one or more network terminals and optimize the behavior of the network terminals. The said method is adapted to collect and monitor the behavior of the network terminals and compare it with the behavior profile of the network terminals in order to detect the anomaly parameter. The behavior profile is the normal interaction of the software and hardware components of the network terminals. A system for implementation and execution of such anomaly detector is also disclosed.