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Securing Industrial Internet of Things Against Botnet Attacks Using Hybrid Deep Learning Approach

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posted on 2022-03-24, 22:21 authored by Tooba Hasan, Jahanzaib Malik, Iram Bibi, Wali Ullah KhanWali Ullah Khan, Fahd N. Al-Wesabi, Kapal Dev, Gaojian Huang
This work proposes a hybrid intelligent Deep Learning (DL)-enabled mechanism to secure IIoT infrastructure from lethal and sophisticated multi-variant botnet attacks. The proposed mechanism has been rigorously evaluated with latest available dataset, standard and extended performance evaluation metrics, and current DL benchmark algorithms. Besides, cross validation of our results are also performed to clearly show overall performance.


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ORCID of Submitting Author 0000-0003-1485-5141

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University of Luxembourg

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  • Luxembourg