Hafsa Benaddi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Topics

Intrusion Detection

Top Venues

Publications

Mohammed Jouhari, Hafsa Benaddi, Khalil Ibrahimi
Feature Selection with CNN-BiLSTM on the UNSW-NB15 Dataset. CoRR (2024)
Hafsa Benaddi, Mohammed Jouhari, Khalil Ibrahimi, Abderrahim Benslimane, El Mehdi Amhoud
Improvement of Anomaly Detection System in the IoT Networks using CNN-LSTM Approach. GLOBECOM (2023)
Khalil Ibrahimi, Hafsa Benaddi
Improving the IDS for BoT-IoT Dataset-Based Machine Learning Classifiers. CommNet (2022)
Hafsa Benaddi, Khalil Ibrahimi, Abderrahim Benslimane, Mohammed Jouhari, Junaid Qadir
Robust Enhancement of Intrusion Detection Systems Using Deep Reinforcement Learning and Stochastic Game. IEEE Trans. Veh. Technol. 71 (10) (2022)
Hafsa Benaddi, Mohammed Jouhari, Khalil Ibrahimi, Jalel Ben-Othman, El-Mehdi Amhoud
Anomaly Detection in Industrial IoT Using Distributional Reinforcement Learning and Generative Adversarial Networks. Sensors 22 (21) (2022)
Hafsa Benaddi, Mohammed Jouhari, Khalil Ibrahimi, Abderrahim Benslimane, El-Mehdi Amhoud
Adversarial Attacks Against IoT Networks using Conditional GAN based Learning. GLOBECOM (2022)
Hafsa Benaddi, Mohammed Jouhari, Khalil Ibrahimi, Abderrahim Benslimane
Securing IoT Transactions Against Double-Spending Attacks based on Signaling Game Approach. GLOBECOM (2021)
Hafsa Benaddi, Khalil Ibrahimi
A Review: Collaborative Intrusion Detection for IoT integrating the Blockchain technologies. WINCOM (2020)
Hafsa Benaddi, Khalil Ibrahimi, Abderrahim Benslimane, Junaid Qadir
A Deep Reinforcement Learning Based Intrusion Detection System (DRL-IDS) for Securing Wireless Sensor Networks and Internet of Things. WiCON (2019)
Hafsa Benaddi, Khalil Ibrahimi, Haytham Dahri, Abderrahim Benslimane
A Framework to Secure Cluster-Header Decision in Wireless Sensor Network Using Blockchain. ACOSIS (2019)
Hafsa Benaddi, Khalil Ibrahimi, Abderrahim Benslimane
Improving the Intrusion Detection System for NSL-KDD Dataset based on PCA-Fuzzy Clustering-KNN. WINCOM (2018)