Proficient Network Traffic Categorization Method with Strange Flow Detection

The area of Internet traffic measurement has advanced enormously in the last couple of years. This advancement is mostly based on the enormous growth in the number of users connected, in the increase in user access speeds and in the appearance of network-hungry applications. This change greatly affected the work of Internet Service providers and network administrators, which have to deal with increasing network users and capacity demands and abrupt traffic changes caused by new applications. This paper has been developed keeping in view of the distributed client server computing technology, in mind. This paper provides a secure categorization through user interfaces which are browser specific to give distributed accessibility for the overall system. This paper provides security in the system by using the IP Trace back technique which traces the IP of the attacker and locates the position of the system. In addition to that, it also provides safe browsing features which are user specific and safe mailing feature with an ability to perform spam filtering