Classification of end users over distributed network by using fuzzy temporal correlation of HTTP and TCP log

Digital communication is a back bone of the communication over the world. This is openly available for all users. This is a major cause of attack in the network. Now how it is possible to catch the attacker. So here digital investigation takes place. This paper proposed an approach which is used the two basic concepts one is temporal data mining and another is fuzzy association rules. Using log files it is possible to classify the attacker from the normal user. This paper uses the time based investigation which gives the efficient result to detect the end user if it is attacker.