Transferable intrusion detection model for industrial Internet based on deep learning: IIDS model combining hybrid deep learning model and transfer learning-Reference-Cited by-同舟云学术

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Transferable intrusion detection model for industrial Internet based on deep learning: IIDS model combining hybrid deep learning model and transfer learning

Published:2024-01-19 Issue: Volume: Page:107-113
ISSN:
Container-title:Proceedings of the 2024 3rd International Conference on Cryptography, Network Security and Communication Technology
language:
Short-container-title:

Author:

Cui Hao¹^ORCID,Xue Tianyi¹^ORCID,Liu Yaqian¹^ORCID,Liu Bocheng¹^ORCID

Affiliation:

1. Nanchang University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3673277.3673296

Reference19 articles.

1. Babayigit, B., Abubaker, M., 2023. Industrial internet of things: a review of improvements over traditional SCADA systems for industrial automation. IEEE Syst. J. 1–14.

2. Data-driven smart manufacturing

3. Hodo E. Bellekens X. Hamilton A. Tachtatzis C. and Atkinson R. 2017. Shallow and deep networks intrusion detection system: A taxonomy and survey. arXiv preprint arXiv:1701.02145.

4. Detection of Cardiovascular Diseases in ECG Images Using Machine Learning and Deep Learning Methods

5. Towards a generalized hybrid deep learning model with optimized hyperparameters for malicious traffic detection in the Industrial Internet of Things

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