VAE-GAN for Robust IoT Malware Detection and Classification in Intelligent Urban Environments: An Image Analysis Approach. - Huiyao Dong; Igor V. Kotenko (CRiSIS, 2023)

Autoencoder-based Malware Analysis: An Imagery Analysis Approach to Enhance the Security of Smart City IoT. - Huiyao Dong; Igor V. Kotenko (ISCAI, 2023)

Enhancing Security in EV Charging Systems: A Hybrid Detection and Mitigation Approach. - Huiyao Dong; Igor V. Kotenko (CloudCom, 2024)

Hybrid Multi-Task Deep Learning for Improved IoT Network Intrusion Detection: Exploring Different CNN Structures. - Huiyao Dong; Igor V. Kotenko (COMSNETS, 2024)

Multi-task learning for IoT traffic classification: A comparative analysis of deep autoencoders. - Huiyao Dong; Igor V. Kotenko (Future Gener. Comput. Syst., 2024)

Image-based malware analysis for enhanced IoT security in smart cities. - Huiyao Dong; Igor V. Kotenko (Internet Things, 2024)

On-Device AI Security Solutions: A Study on Lightweight Ensemble Learning Technique. - Huiyao Dong; Igor V. Kotenko (COMSNETS, 2025)

Next-generation IIoT security: Comprehensive comparative analysis of CNN-based approaches. - Huiyao Dong; Igor V. Kotenko; Dmitry Levshun (Knowl. Based Syst., 2025)

Cybersecurity in the AI era: analyzing the impact of machine learning on intrusion detection. - Huiyao Dong; Igor V. Kotenko (Knowl. Inf. Syst., 2025)

Image analysis approach based on VAE-GAN for IoT malware detection in urban environments. - Huiyao Dong; Igor V. Kotenko (Innov. Syst. Softw. Eng., 2025)