Applying machine learning and deep learning models to improve DDoS detection and mitigation in 5G network environments.

Evaluating intelligent intrusion detection strategies for SCADA and ICS environments across machine learning, deep learning, and hybrid models.

Building hybrid intrusion detection systems for industrial control systems with a focus on advanced persistent threat detection.

Designing machine learning systems that classify incoming URLs as phishing or legitimate for financial-services protection.

Developing AI-driven intrusion detection approaches for industrial control systems using LSTM autoencoders, hybrid frameworks, and time-series analysis.