HALOGrid—HyperAdaptive long short term memory model with intelligent grid optimization

<p>HALOGrid is an adaptive edge–cloud malware detection framework for IoT traffic. The approach couples a lightweight LSTM (residual paths, attention, drift-penalty regularization) for low-latency edge inference with a telemetry-driven tuner that performs real-time hyperparameter updates. The...

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Bibliographic Details
Main Author:	Kamran Ahmad Awan (23643430) (author)
Other Authors:	Maha Abdelhaq (735574) (author), Celestine Iwendi (18002485) (author), Sonia Khan (23643433) (author), Amina Salhi (23643436) (author), Mueen Uddin (4903510) (author), Raed Alsaqour (735575) (author)
Published:	2025
Subjects:	Engineering Engineering practice and education Information and computing sciences Artificial intelligence Cybersecurity and privacy Distributed computing and systems software Machine learning Edge computing IoT malware detection Adaptive hyperparameter tuning Long Short-Term Memory Augmented grid search Real-time inference
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HALOGrid—HyperAdaptive long short term memory model with intelligent grid optimization

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