Mohammed Chemmakha

According to our database, Mohammed Chemmakha authored at least 6 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2026

A federated and transfer learning framework for high-accuracy, explainable intrusion detection in next-generation data centers.

Mbarek Marwan, Mohammed Chemmakha, Abdelkarim Ait Temghart, Mohamed Lazaar

Discov. Artif. Intell., December, 2026

Robust CNN-Based Threat Detection in SDN-Enabled IoT Networks.

Safae Khalis, Karima Hassini, Mohammed Chemmakha, Omar Habibi, Mohamed Lazaar

J. Netw. Syst. Manag., April, 2026

Toward a New Approach for Internet of Things (IoT) Intrusion Detection Based on Feature Selection and Tabular Generative Adversarial Network.

Mohammed Chemmakha, Omar Habibi, Mohamed Lazaar

Intelligenza Artificiale, 2026

2024

Towards a Deep Learning Approach for IoT Attack Detection Based on a New Generative Adversarial Network Architecture and Gated Recurrent Unit.

Mohammed Chemmakha, Omar Habibi, Mohamed Lazaar

J. Netw. Syst. Manag., October, 2024

An end-to-end learning approach for enhancing intrusion detection in Industrial-Internet of Things.

Karima Hassini, Safae Khalis, Omar Habibi, Mohammed Chemmakha, Mohamed Lazaar

Knowl. Based Syst., 2024

2023

Imbalanced tabular data modelization using CTGAN and machine learning to improve IoT Botnet attacks detection.

Omar Habibi, Mohammed Chemmakha, Mohamed Lazaar

Eng. Appl. Artif. Intell., 2023