Hybrid RNN-GRU-LSTM Model for Accurate Detection of DDoS Attacks on IDS Dataset

Research article (Journal of Modern Technology, 2024) · cited 14× · AI/ML

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Hybrid RNN-GRU-LSTM Model for Accurate Detection of DDoS Attacks on IDS Dataset

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Hybrid RNN-GRU-LSTM Model for Accurate Detection of DDoS Attacks on IDS Dataset is a scholarly article^[1].

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Anuraag Soma

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Anuraag Soma

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[2] ↑ Hybrid RNN-GRU-LSTM Model for Accurate Detection of DDoS Attacks on IDS Dataset — instance of (P31): scholarly article. wikidata.org.

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[1] ↑ Hybrid RNN-GRU-LSTM Model for Accurate Detection of DDoS Attacks on IDS Dataset is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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4ort.xyz Knowledge Graph. (2026). Hybrid RNN-GRU-LSTM Model for Accurate Detection of DDoS Attacks on IDS Dataset. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-rnn-gru-lstm-model-for-accurate-detection-of-ddos-attacks-on-ids-dataset

MLA

“Hybrid RNN-GRU-LSTM Model for Accurate Detection of DDoS Attacks on IDS Dataset.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-rnn-gru-lstm-model-for-accurate-detection-of-ddos-attacks-on-ids-dataset.

BibTeX

@misc{4ortxyz_hybrid-rnn-gru-lstm-model-for-accurate-detection-of-ddos-attacks-on-ids-dataset_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid RNN-GRU-LSTM Model for Accurate Detection of DDoS Attacks on IDS Dataset}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-rnn-gru-lstm-model-for-accurate-detection-of-ddos-attacks-on-ids-dataset}, note = {Accessed: 2026-05-24}}

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According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hybrid RNN-GRU-LSTM Model for Accurate Detection of DDoS Attacks on IDS Dataset — https://4ort.xyz/entity/hybrid-rnn-gru-lstm-model-for-accurate-detection-of-ddos-attacks-on-ids-dataset (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/hybrid-rnn-gru-lstm-model-for-accurate-detection-of-ddos-attacks-on-ids-dataset · Last refreshed: May 24, 2026