Dependable Intrusion Detection System for IoT: A Deep Transfer Learning-based Approach

The proposed deep transfer learning-based dependable IDS model uses a deep transfer learning-based residual neural network (P-ResNet) IDS that can train efficiently using only a small scale of target domain data and understand its impact with low computational capabilities.

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Sk. Tanzir Mehedi, Adnan Anwar, Ziaur Rahman, Kawsar Ahmed, Rafiqul Islam (2024). Dataset: Dependable Intrusion Detection System for IoT: A Deep Transfer Learning-based Approach. https://doi.org/10.57702/xipiv9q5

DOI retrieved: December 2, 2024

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Created December 2, 2024
Last update December 2, 2024
Author Sk. Tanzir Mehedi
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Adnan Anwar
Ziaur Rahman
Kawsar Ahmed
Rafiqul Islam