PERFORMANCE ANALYSIS OF MACHINE LEARNING TECHNIQUES FOR INTRUSION DETECTION SYSTEM

It is very important to protect organizations assets and resources over the network from attackers. Much of the work is already been done in the past by different researchers from different corners of the universe. Many of them have been proved successful over the years. The work is related to detection of such intruders prior any damage being done by them to important assets. The systems used for intruder detection are called as Intrusion Detection Systems (IDS). Now a days, solving problems with data acquisition is very effective, which is nothing but the machine learning approach. Same approach can be used for implementation of IDS. In fact, many researchers have done the lot of work in IDS implementations by using different machine learning techniques. There are number of machine learning techniques which are proving and producing better results for in different areas for problem solutions. Here, we will try to find and compare the different results obtained by researchers with different machine learning techniques for IDS implementation.