APELID: Enhancing real-time intrusion detection with augmented WGAN and parallel ensemble learning.
Comput. Secur., January, 2024
AI-powered intrusion detection in large-scale traffic networks based on flow sensing strategy and parallel deep analysis.
J. Netw. Comput. Appl., November, 2023
Enhancing AI - Powered Malware Detection by Parallel Ensemble Learning.
Proceedings of the International Conference on Computing and Communication Technologies, 2023
Leveraging AI-Driven Realtime Intrusion Detection by Using WGAN and XGBoost.
Proceedings of the 11th International Symposium on Information and Communication Technology, 2022
Towards a Webshell Detection Approach Using Rule-Based and Deep HTTP Traffic Analysis.
Proceedings of the Computational Collective Intelligence - 14th International Conference, 2022
SDAID: Towards a Hybrid Signature and Deep Analysis-based Intrusion Detection Method.
Proceedings of the IEEE Global Communications Conference, 2022