Ansar, Nadia and Parveen, Suraiya and Khan, Ihtiram Raza and Alankar, Bhavya (2025) A Scalable Hybrid RF-BiLSTM Framework for Reliable IoT Traffic Threat Detection via Feature Selection and Temporal Pattern Recognition. EAI Endorsed Transactions on Internet of Things.
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Abstract
In this research, we addressed the recurring challenges of securing IoT networks against emerging cyber security threats. Taking advantage of the complementary strengths of Random Forest (RF) for feature selection and Bidirectional Long Short-Term Memory (BiLSTM) networks for sequential learning; we
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 20:22 |
| Last Modified: | 10 Apr 2026 17:42 |
| URI: | http://eprints.eai.eu/id/eprint/60384 |
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