Real Time Intrusion Detection System for Big Data

Abstract

The objective of the proposed system is to integrate the high volume of data along with the important considerations like monitoring a wide array of heterogeneous security. When a real time cyber attack occurred, the Intrusion Detection System automatically store the log in distributed environment and monitor the log with existing intrusion dictionary. At the same time the system will check and categorize the severity of the log to high, medium, and low respectively. After the categorization, the system will automatically take necessary action against the user-unit with respect to the severity of the log. The advantage of the system is that it utilize anomaly detection, evaluates data and issue alert message or reports based on abnormal behaviour.