Oluwapelunmi Bankole

A Multi-Dimensional Evaluation Framework for IoT Intrusion Detection: Balancing Accuracy, Efficiency and Real-World Deployment Constraints

Oluwapelunmi Bankole · Asian Journal of Advanced Research and Reports · 2026

The rapid proliferation of Internet of Things (IoT) devices has introduced unprecedented security vulnerabilities, with botnet attacks representing persistent threats to network infrastructure. While machine learning-based intrusion detection systems (IDS) show promise in laborat...

Open access Research Article 10.9734/ajarr/2026/v20i31299

Advanced Sequential Learning Models for IoT Intrusion Detection: A Comparative Analysis of Transformer, GRU and LSTM Architectures

Oluwapelunmi Bankole · Asian Journal of Advanced Research and Reports · 2026

The rapid proliferation of Internet of Things (IoT) devices has introduced unprecedented security challenges, with network intrusion detection systems (NIDS) becoming critical for safeguarding IoT infrastructures. While traditional machine learning approaches have shown promise,...

Open access Research Article 10.9734/ajarr/2026/v20i21297