An efficient intrusion detection systems in fog computing using forward selection and BiLSTM

Research article (Bulletin of Electrical Engineering and Informatics, 2024) · cited 10× · AI/ML
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An efficient intrusion detection systems in fog computing using forward selection and BiLSTM

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An efficient intrusion detection systems in fog computing using forward selection and BiLSTM is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An efficient intrusion detection systems in fog computing using forward selection and BiLSTM. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-intrusion-detection-systems-in-fog-computing-using-forward-selection-and-bilstm
MLA “An efficient intrusion detection systems in fog computing using forward selection and BiLSTM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-intrusion-detection-systems-in-fog-computing-using-forward-selection-and-bilstm.
BibTeX @misc{4ortxyz_an-efficient-intrusion-detection-systems-in-fog-computing-using-forward-selection-and-bilstm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient intrusion detection systems in fog computing using forward selection and BiLSTM}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-intrusion-detection-systems-in-fog-computing-using-forward-selection-and-bilstm}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An efficient intrusion detection systems in fog computing using forward selection and BiLSTM — https://4ort.xyz/entity/an-efficient-intrusion-detection-systems-in-fog-computing-using-forward-selection-and-bilstm (retrieved 2026-05-24)

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