An approach to identify anomaly with network data analysis

Data everywhere should possess some level of se-curity in a network or a host based system. This is an impor-tant task that needs to be implemented with the global reach standards. This scenario basically happens to be started with communication, which itself is a tedious issue sometimes over a network. The global reach is headed by intruders where the need for survey is required. In this regard, the concept of security with network data and traffic is to be adopted. Basically, this paper focuses to estimate network traffic and its behavior and finally concludes with identification of attacks. It is obvious that data is voluminous to analyze and predict attacks. This enabled to show images of detection, identification and visualize attacks and anomalous traffic in real-time by passively monitoring packet headers.