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Safi Ullah

ORCID: 0000-0002-9973-640X
Observed ORCID: 0000-0002-9973-640X
OpenAlex ID: A5017797877
TNN-IDS: Transformer neural network-based intrusion detection system for MQTT-enabled IoT Networks
2023 · Safi Ullah, Jawad Ahmad, et al. · Computer Networks · 138
HDL-IDS: A Hybrid Deep Learning Architecture for Intrusion Detection in the Internet of Vehicles
2022 · Safi Ullah, Muazzam A. Khan, et al. · Sensors · 134
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A hybrid deep learning-based intrusion detection system for IoT networks
2023 · Noor Wali Khan, Mohammed S. Alshehri, et al. · Mathematical Biosciences & Engineering · 114
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A New Intrusion Detection System for the Internet of Things via Deep Convolutional Neural Network and Feature Engineering
2022 · Safi Ullah, Jawad Ahmad, et al. · Sensors · 110
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MAGRU-IDS: A Multi-Head Attention-Based Gated Recurrent Unit for Intrusion Detection in IIoT Networks
2023 · Safi Ullah, Wadii Boulila, et al. · IEEE Access · 70
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SACNN‐IDS: A self‐attention convolutional neural network for intrusion detection in industrial internet of things
2024 · Mimonah Al Qathrady, Safi Ullah, et al. · CAAI Transactions on Intelligence Technology · 43
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Multi-step attack detection in industrial networks using a hybrid deep learning architecture
2023 · Muhammad Hassan Jamal, Muazzam A Khan, et al. · Mathematical Biosciences & Engineering · 24
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Attention-Based Hybrid Deep Learning Model for Intrusion Detection in IIoT Networks
2024 · Safi Ullah, Wadii Boulila, et al. · Procedia Computer Science · 14
ABDNN-IDS: Attention-Based Deep Neural Networks for Intrusion Detection in Industrial IoT
2023 · Safi Ullah, Wadii Boulila, et al. · IEEE Vehicular Technology Conference · 6
Proactive Threat Hunting and Anomaly Detection in Intelligent Green Transportation: A Federated Edge-AI Framework for In-Vehicle Consumer Networks
2026 · Kainat, Muazzam A. Khan, et al. · IEEE Transactions on Consumer Electronics
Reduced Training Time for Multi-Class IoT Intrusion Detection using Hybrid Deep Learning Model
2025 · Saddaf Rubab, Syeda Jamila Guftar, et al. · National Conference on Electrical and Electronics Engineering (ELECO)
Works count: 11
Citation count: 653
H-index: 8
I10-index: 8
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