Md Zakir Hossain
2 indexed papers
Recent (6 mo)
2With code
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226
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Crypto×2
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Research Timeline
2026
Assessing Generalisation Capability of Machine Learning Models for Intrusion Detection
The study assesses the generalization capability of supervised machine learning models for intrusion detection using UNSW-NB15 and TON_IoT, finding a significant performance drop when models are tested on unseen datasets.
DSTAN-Med: Dual-Channel Spatiotemporal Attention with Physiological Plausibility Filtering for False Data Injection Attack Detection in IoT-Based Medical Devices
DSTAN-Med is a novel dual-channel attention framework that significantly improves False Data Injection (FDI) attack detection in IoMT medical devices by explicitly separating spatial and temporal dependencies and incorporating physiological constraints.
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Papers
cs.CRRecentMay 13, 2026
DSTAN-Med: Dual-Channel Spatiotemporal Attention with Physiological Plausibility Filtering for False Data Injection Attack Detection in IoT-Based Medical Devices
DSTAN-Med is a novel dual-channel attention framework that significantly improves False Data Injection (FDI) attack detection in IoMT medical devices by explicitly separating spatial and temporal depe…
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cs.CRRecentMay 6, 2026