AN EFFECTIVE ALGORITHM FOR COMPARISON OF REAL-TIME AND NON-REAL TIME DATA IN TEMPORAL BASED ACTIVITY MODEL

 ABSTRACT—Nowadays, many process has to be done in the internet such as online shopping, online ticket booking etc.During this process, hacking process has to be done.To avoid this, we have to find the time variation of abnormal activity(hacking process) and normal activity by using a timer.This paper address the identification problem that does not find the variation of time values of real time data and non-real time data in a fast manner. To find the time variation of two activities, propose an active comparison algorithm to perform comparisons of real time data and non-real time data fastly.Based on result produced from the active comparison algorithm, and then find the normal and abnormal activity (anomalous activity).