User behaviour classification using Fuzzy Rule Based System

In this paper a novel technique for user behavior classification is proposed using Fuzzy Rule Based System (FRBS). Using this technique a network user can be monitored and his/her behavior can be classified depending on his/her activities like unauthorized websites usage, attempting to breach in network security, firewalls, unauthorized services access and frequency of attempts etc. The information about a user is obtained by his/her web, database, hardware and other applications logs. FRBS classifies a user to one of the predefined categories based on the information extracted from user logs. This would great help in network security and privacy as well as users may be guided for sincere mistakes and other measures may be taken by the organization. Significance of the proposed scheme is shown by examples and results.