355 citations · 507 across the 7 of their papers we have counts for
7 papers
Lightweight Intrusion Detection in IoT via SHAP-Guided Feature Pruning and Knowledge-Distilled Kronecker Networks
Hafsa Benaddi, Mohammed Jouhari, Nouha Laamech +2
The widespread deployment of Internet of Things (IoT) devices requires intrusion detection systems (IDS) with high accuracy while operating under strict resource constraints. Conve…
Efficient Intrusion Detection: Combining Feature Selection with CNN-BiLSTM on the UNSW-NB15 Dataset
Mohammed Jouhari, Hafsa Benaddi, Khalil Ibrahimi
Intrusion Detection Systems (IDSs) have played a significant role in the detection and prevention of cyber-attacks in traditional computing systems. It is not surprising that this…
Lightweight CNN-BiLSTM based Intrusion Detection Systems for Resource-Constrained IoT Devices
Mohammed Jouhari, Mohsen Guizani
Intrusion Detection Systems (IDSs) have played a significant role in detecting and preventing cyber-attacks within traditional computing systems. It is not surprising that the same…
Deep Reinforcement Learning-based Energy Efficiency Optimization For Flying LoRa Gateways
Mohammed Jouhari, Khalil Ibrahimi, Jalel Ben Othman +1
A resource-constrained unmanned aerial vehicle (UAV) can be used as a flying LoRa gateway (GW) to move inside the target area for efficient data collection and LoRa resource manage…
Spreading Factor assisted LoRa Localization with Deep Reinforcement Learning
Yaya Etiabi, Mohammed JOUHARI, Andreas Burg +1
Most of the developed localization solutions rely on RSSI fingerprinting. However, in the LoRa networks, due to the spreading factor (SF) in the network setting, traditional finger…
A Survey on Scalable LoRaWAN for Massive IoT: Recent Advances, Potentials, and Challenges
Mohammed Jouhari, Nasir Saeed, Mohamed-Slim Alouini +1
Long-range (LoRa) technology is most widely used for enabling low-power wide area networks (WANs) on unlicensed frequency bands. Despite its modest data rates, it provides extensiv…
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization
Mohammed Jouhari, Abdulla Al-Ali, Emna Baccour +4
Unmanned Aerial Vehicles (UAVs) have attracted great interest in the last few years owing to their ability to cover large areas and access difficult and hazardous target zones, whi…