In recent years, the amount of online content has grown in enormous proportions. Users try to collect valuable information about contents in order to find their way to relevant web pages. And a lot of research is going on to collect valuable service usage data and process it using different methods to know their behaviors. Many systems and approaches have been proposed in the literature which tries to get information about the user’s interests by profiling the user. The objective of the paper is to profile users on their specific devices and the web usage patterns based on the keyboard and mouse usage, time spent on the web. By analyzing the usage patterns of various users, we prove that the patterns exhibited by any one user are different from other users. © Springer Science+Business Media Singapore 2016.