ISSN No:2250-3676
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Scholarly Peer Reviewed and Fully Referred Open Access Multidisciplinary Monthly Research Journal


    ENHANCING INTRUSION DETECTION SYSTEMS WITH AUTOENCODER-BASED ANOMALY DETECTION IN NETWORK TRAFFIC

    1Venkataramesh Induru,2Priyadarshini Radhakrishnan,3Vijai Anand Ramar,4Karthik Kushala,5Purandhar. N

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    ID: 1223

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    Published:

    09-6-2024

    Issue:

    Vol. 24 No. 6 (2024)


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    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

    How to Cite

    1Venkataramesh Induru,2Priyadarshini Radhakrishnan,3Vijai Anand Ramar,4Karthik Kushala,5Purandhar. N, ENHANCING INTRUSION DETECTION SYSTEMS WITH AUTOENCODER-BASED ANOMALY DETECTION IN NETWORK TRAFFIC , 2024, International Journal of Engineering Sciences and Advanced Technology, 24(6), Page , ISSN No: 2250-3676.

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