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

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preprint
posted on 24.03.2022, 22:21 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.

History

Email Address of Submitting Author

waliullah.khan@uni.lu

ORCID of Submitting Author

https://orcid.org/ 0000-0003-1485-5141

Submitting Author's Institution

University of Luxembourg

Submitting Author's Country

Luxembourg