On securing IoT from Deep Learning perspective. - Yazan Otoum; Amiya Nayak (ISCC, 2020)

Signature-Over-The-Air with Transfer Learning IDS for Intelligent Connected Vehicles (ICV). - Yazan Otoum; Amiya Nayak (GLOBECOM (Workshops), 2021)

Federated Transfer Learning-Based IDS for the Internet of Medical Things (IoMT). - Yazan Otoum; Yue Wan; Amiya Nayak (GLOBECOM (Workshops), 2021)

AS-IDS: Anomaly and Signature Based IDS for the Internet of Things. - Yazan Otoum; Amiya Nayak (J. Netw. Syst. Manag., 2021)

FTLIoT: A Federated Transfer Learning Framework for Securing IoT. - Yazan Otoum; Sai Krishna Yadlapalli; Amiya Nayak (GLOBECOM, 2022)

Transfer Learning-Driven Intrusion Detection for Internet of Vehicles (IoV). - Yazan Otoum; Yue Wan; Amiya Nayak (IWCMC, 2022)

DL-IDS: a deep learning-based intrusion detection framework for securing IoT. - Yazan Otoum; Dandan Liu; Amiya Nayak (Trans. Emerg. Telecommun. Technol., 2022)

Federated and Transfer Learning-Empowered Intrusion Detection for IoT Applications. - Yazan Otoum; Vinay Chamola; Amiya Nayak (IEEE Internet Things Mag., 2022)

A Scalable Meta Learning-Based Model to Secure IoT Networks. - Eyad Haj Said; Yazan Otoum; Amiya Nayak (IEEE Internet Things Mag., 2023)

Advancing IoMT Defenses: Deep Collaborative Learning for Robust Healthcare Security. - Yazan Otoum; Paritosh Singh; Amiya Nayak (GLOBECOM, 2024)

Enhancing Heart Disease Prediction with Federated Learning and Blockchain Integration. - Yazan Otoum; Chaosheng Hu; Eyad Haj Said; Amiya Nayak (Future Internet, 2024)

Machine Learning in Metaverse Security: Current Solutions and Future Challenges. - Yazan Otoum; Navya Gottimukkala; Neeraj Kumar 001; Amiya Nayak (ACM Comput. Surv., 2024)

LLMs meet Federated Learning for Scalable and Secure IoT Management. - Yazan Otoum; Arghavan Asad; Amiya Nayak (CoRR, 2025)

Blockchain Meets Adaptive Honeypots: A Trust-Aware Approach to Next-Gen IoT Security. - Yazan Otoum; Arghavan Asad; Amiya Nayak (CoRR, 2025)

Differential Privacy-Driven Framework for Enhancing Heart Disease Prediction. - Yazan Otoum; Amiya Nayak (CoRR, 2025)

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems. - Yazan Otoum; Arghavan Asad; Amiya Nayak (CoRR, 2025)

Open-Source LLM-Driven Federated Transformer for Predictive IoV Management. - Yazan Otoum; Arghavan Asad; Ishtiaq Ahmad (CoRR, 2025)

Phishing Detection in the Gen-AI Era: Quantized LLMs vs Classical Models. - Jikesh Thapa; Gurrehmat Chahal; Serban Voinea Gabreanu; Yazan Otoum (CoRR, 2025)

Hybrid LLM-Enhanced Intrusion Detection for Zero-Day Threats in IoT Networks. - Mohammad F. Al-Hammouri; Yazan Otoum; Rasha Jamal Atwa; Amiya Nayak (CoRR, 2025)

Autonomous AI-based Cybersecurity Framework for Critical Infrastructure: Real-Time Threat Mitigation. - Jenifer Paulraj; Brindha Raghuraman; Nagarani Gopalakrishnan; Yazan Otoum (CoRR, 2025)

Energy-Aware Code Generation with LLMs: Benchmarking Small vs. Large Language Models for Sustainable AI Programming. - Humza Ashraf; Syed Muhammad Danish; Aris Leivadeas; Yazan Otoum; Zeeshan Sattar (CoRR, 2025)