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Securing Industrial Internet of Things Against Botnet Attacks Using Hybrid Deep Learning Approach
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  • Wali Ullah Khan ,
  • Jahanzaib Malik ,
  • Tooba Hasan ,
  • Iram Bibi ,
  • Fahd N. Al-Wesabi ,
  • Kapal Dev ,
  • Gaojian Huang ,
  • Gaojian Huang ,
  • Jahanzaib Malik ,
  • Iram Bibi
Wali Ullah Khan
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Jahanzaib Malik
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Tooba Hasan
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Iram Bibi
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Fahd N. Al-Wesabi
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Kapal Dev
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Gaojian Huang
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Gaojian Huang
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Jahanzaib Malik
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Iram Bibi
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Abstract

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.
01 Sep 2023Published in IEEE Transactions on Network Science and Engineering volume 10 issue 5 on pages 2952-2963. 10.1109/TNSE.2022.3168533