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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Role of Machine Learning in Intrusion Detection System: Review


    Beteiligte:
    Haripriya, L. (Autor:in) / Jabbar, M.A. (Autor:in)


    Erscheinungsdatum :

    2018-03-01


    Format / Umfang :

    4340641 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Proposed Machine Learning based Scheme for Intrusion Detection

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



    A Machine Learning Approach for Intrusion Detection in Smart Cities

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



    Role of Machine Learning in Fake Review Detection

    Kumar, P. Manish / Harrsha, S. Shri / Abhiram, K. et al. | IEEE | 2022