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Machine Learning (ML) is a modern and highly sophisticated technological application became a huge trend in the industry. Machine Learning is omnipresent and is widely used in various applications. ML is playing a vital role in many fields like Finance, Medical Science and in Security. An IDS is primarily used for protection of network and information system. It monitors the operation of host or a network. IDS monitors network of computers for attacks that are aimed at stealing information. Applying ML can result in low False Alarm Rate and high detection rate. In this paper, we study various ML algorithms that are used to develop IDS. From the comparison the gap for developing efficient IDS will be reached.
Haripriya et al. (Thu,) studied this question.