Research Backgrounds

Research Background

This project will be anomaly based, which is an intrusion detection system for detecting both network and computer intrusions and misuse by monitoring system activity and classifying it as either if its normal or malicious intent. Intrusion detection system these days has been too enhanced. Thus the user friendliness of existing IDS system now are far too complicated for any young developers who plan to learn and study or even use the existing IDS system as a simulation for the final year project.

These days, existing IDS all around the world have commonly process 3 instructions which are to detect any intrusions or malicious attack and then after on to alert the head of security or the person/user in charge and then wait for them to act, and lastly to adapt to the kind of malicious intent and prevent it from ever happening again. Therefore, this projects minimizes and reduced the actions of the IDS system and allows user to have lesser features to work and understand on and start to learn the basic foundation of a normal intrusion detection system. This system will be reducing certain features like being able to have a machine learning feature which give the system the ability to learn intrusion attack patterns and the complexity of interface. This project will be focused on improving the learnability and user friendly of a IDS system maximizing the ability to provide entrepreneurs, young or new developers and even scientist an easier understand and the basic foundation of how normal IDS system works.

PROBLEM STATEMENT

It is well known that anomaly-based IDS suffer from the high rate of false alarms. Continuous efforts are being made to reduce the high false positive rate. We believe that intrusion detection is a data analysis process and can be studied as a problem of classifying data correctly. From this standpoint, it can also be observed that any classification scheme is as good as the data presented to it as input.

PROJECT SIGNIFICANT

With the employment of this project on Intrusion detection system, it will improve the stability any organization yet maintaining the ethic against any violation of law. This will also provide companies to have their own free will of protecting their confidential information that they would want to protect against other competing companies.