Improving the Intrusion Detection System for NSL-KDD Dataset based on PCA-Fuzzy Clustering-KNN. - Hafsa Benaddi; Khalil Ibrahimi; Abderrahim Benslimane (WINCOM, 2018)

A Framework to Secure Cluster-Header Decision in Wireless Sensor Network Using Blockchain. - Hafsa Benaddi; Khalil Ibrahimi; Haytham Dahri; Abderrahim Benslimane (ACOSIS, 2019)

A Deep Reinforcement Learning Based Intrusion Detection System (DRL-IDS) for Securing Wireless Sensor Networks and Internet of Things. - Hafsa Benaddi; Khalil Ibrahimi; Abderrahim Benslimane; Junaid Qadir 001 (WiCON, 2019)

A Review: Collaborative Intrusion Detection for IoT integrating the Blockchain technologies. - Hafsa Benaddi; Khalil Ibrahimi (WINCOM, 2020)

Securing IoT Transactions Against Double-Spending Attacks based on Signaling Game Approach. - Hafsa Benaddi; Mohammed Jouhari; Khalil Ibrahimi; Abderrahim Benslimane (GLOBECOM, 2021)

Improving the IDS for BoT-IoT Dataset-Based Machine Learning Classifiers. - Khalil Ibrahimi; Hafsa Benaddi (CommNet, 2022)

Adversarial Attacks Against IoT Networks using Conditional GAN based Learning. - Hafsa Benaddi; Mohammed Jouhari; Khalil Ibrahimi; Abderrahim Benslimane; El Mehdi Amhoud (GLOBECOM, 2022)

Anomaly Detection in Industrial IoT Using Distributional Reinforcement Learning and Generative Adversarial Networks. - Hafsa Benaddi; Mohammed Jouhari; Khalil Ibrahimi; Jalel Ben-Othman; El Mehdi Amhoud (Sensors, 2022)

Robust Enhancement of Intrusion Detection Systems Using Deep Reinforcement Learning and Stochastic Game. - Hafsa Benaddi; Khalil Ibrahimi; Abderrahim Benslimane; Mohammed Jouhari; Junaid Qadir 001 (IEEE Trans. Veh. Technol., 2022)

Improvement of Anomaly Detection System in the IoT Networks using CNN-LSTM Approach. - Hafsa Benaddi; Mohammed Jouhari; Khalil Ibrahimi; Abderrahim Benslimane; El Mehdi Amhoud (GLOBECOM, 2023)

Deep Learning-Based Traffic Banner Recognition for Enhanced Road Safety in Autonomous Vehicles. - Iness Hassani Idrissi; Mohammed Jouhari; Hafsa Benaddi; Anas Motii; Khalil Ibrahimi (CommNet, 2024)

Efficient Intrusion Detection: Combining X2 Feature Selection with CNN-BiLSTM on the UNSW-NB15 Dataset. - Mohammed Jouhari; Hafsa Benaddi; Khalil Ibrahimi (WINCOM, 2024)

Efficient Intrusion Detection: Combining χ2 Feature Selection with CNN-BiLSTM on the UNSW-NB15 Dataset. - Mohammed Jouhari; Hafsa Benaddi; Khalil Ibrahimi (CoRR, 2024)

A lightweight hybrid approach for intrusion detection systems using a chi-square feature selection approach in IoT. - Hafsa Benaddi; Mohammed Jouhari; Omar Elharrouss (Internet Things, 2025)