A BMO-Optimized Bi-LSTM Framework for Robust Intrusion Detection in IoT and Network Environments

Research article (2025 International Conference on Innovations in Intelligent Systems: Advancements in Computing, Communication, and Cybersecurity (ISAC3), 2025) · cited 12× · AI/ML
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A BMO-Optimized Bi-LSTM Framework for Robust Intrusion Detection in IoT and Network Environments

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A BMO-Optimized Bi-LSTM Framework for Robust Intrusion Detection in IoT and Network Environments is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A BMO-Optimized Bi-LSTM Framework for Robust Intrusion Detection in IoT and Network Environments. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-bmo-optimized-bi-lstm-framework-for-robust-intrusion-detection-in-iot-and-network-environments
MLA “A BMO-Optimized Bi-LSTM Framework for Robust Intrusion Detection in IoT and Network Environments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-bmo-optimized-bi-lstm-framework-for-robust-intrusion-detection-in-iot-and-network-environments.
BibTeX @misc{4ortxyz_a-bmo-optimized-bi-lstm-framework-for-robust-intrusion-detection-in-iot-and-network-environments_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A BMO-Optimized Bi-LSTM Framework for Robust Intrusion Detection in IoT and Network Environments}}, year = {2026}, url = {https://4ort.xyz/entity/a-bmo-optimized-bi-lstm-framework-for-robust-intrusion-detection-in-iot-and-network-environments}, note = {Accessed: 2026-05-24}}
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