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An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks

Research article (2019 53rd Annual Conference on Information Sciences and Systems (CISS), 2019) · cited 102× · AI/ML
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An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks

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An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks is a scholarly article[1].

Key Facts

  • An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-deep-learning-model-for-intrusion-classification-and-prediction-in-5g-and-iot-networks
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BibTeX @misc{4ortxyz_an-efficient-deep-learning-model-for-intrusion-classification-and-prediction-in-5g-and-iot-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-deep-learning-model-for-intrusion-classification-and-prediction-in-5g-and-iot-networks}, note = {Accessed: 2026-05-24}}
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