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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Role of Machine Learning in Intrusion Detection System: Review


    Contributors:


    Publication date :

    2018-03-01


    Size :

    4340641 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Proposed Machine Learning based Scheme for Intrusion Detection

    Dutt, Inadyuti / Borah, Samarjeet / Maitra, Indrakanta | IEEE | 2018


    A Hybrid Machine Learning Based Intrusion Detection System for MIL-STD-1553

    Yunus Emre Çiloğlu / Şerif Bahtiyar | DOAJ | 2024

    Free access

    A Machine Learning Approach for Intrusion Detection in Smart Cities

    Elsaeidy, Asmaa / Munasinghe, Kumudu S. / Sharma, Dharmendra et al. | IEEE | 2019