Yazan Otoum

According to our database, Yazan Otoum authored at least 21 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, August, 2025

Autonomous AI-based Cybersecurity Framework for Critical Infrastructure: Real-Time Threat Mitigation.

Jenifer Paulraj, Brindha Raghuraman, Nagarani Gopalakrishnan, Yazan Otoum

CoRR, July, 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, July, 2025

Phishing Detection in the Gen-AI Era: Quantized LLMs vs Classical Models.

Jikesh Thapa, Gurrehmat Chahal, Serban Voinea Gabreanu, Yazan Otoum

CoRR, July, 2025

Open-Source LLM-Driven Federated Transformer for Predictive IoV Management.

Yazan Otoum, Arghavan Asad, Ishtiaq Ahmad

CoRR, May, 2025

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems.

Yazan Otoum, Arghavan Asad, Amiya Nayak

CoRR, May, 2025

Differential Privacy-Driven Framework for Enhancing Heart Disease Prediction.

Yazan Otoum, Amiya Nayak

CoRR, April, 2025

Blockchain Meets Adaptive Honeypots: A Trust-Aware Approach to Next-Gen IoT Security.

Yazan Otoum, Arghavan Asad, Amiya Nayak

CoRR, April, 2025

LLMs meet Federated Learning for Scalable and Secure IoT Management.

Yazan Otoum, Arghavan Asad, Amiya Nayak

CoRR, April, 2025

2024

Machine Learning in Metaverse Security: Current Solutions and Future Challenges.

Yazan Otoum, Navya Gottimukkala, Neeraj Kumar, Amiya Nayak

ACM Comput. Surv., August, 2024

Enhancing Heart Disease Prediction with Federated Learning and Blockchain Integration.

Yazan Otoum, Chaosheng Hu, Eyad Haj Said, Amiya Nayak

Future Internet, 2024

Advancing IoMT Defenses: Deep Collaborative Learning for Robust Healthcare Security.

Yazan Otoum, Paritosh Singh, Amiya Nayak

Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023

A Scalable Meta Learning-Based Model to Secure IoT Networks.

Eyad Haj Said, Yazan Otoum, Amiya Nayak

IEEE Internet Things Mag., June, 2023

2022

Federated and Transfer Learning-Empowered Intrusion Detection for IoT Applications.

Yazan Otoum, Vinay Chamola, Amiya Nayak

IEEE Internet Things Mag., 2022

DL-IDS: a deep learning-based intrusion detection framework for securing IoT.

Yazan Otoum, Dandan Liu, Amiya Nayak

Trans. Emerg. Telecommun. Technol., 2022

Transfer Learning-Driven Intrusion Detection for Internet of Vehicles (IoV).

Yazan Otoum, Yue Wan, Amiya Nayak

Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

FTLIoT: A Federated Transfer Learning Framework for Securing IoT.

Yazan Otoum, Sai Krishna Yadlapalli, Amiya Nayak

Proceedings of the IEEE Global Communications Conference, 2022

2021

AS-IDS: Anomaly and Signature Based IDS for the Internet of Things.

Yazan Otoum, Amiya Nayak

J. Netw. Syst. Manag., 2021

Federated Transfer Learning-Based IDS for the Internet of Medical Things (IoMT).

Yazan Otoum, Yue Wan, Amiya Nayak

Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

Signature-Over-The-Air with Transfer Learning IDS for Intelligent Connected Vehicles (ICV).

Yazan Otoum, Amiya Nayak

Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

2020

On securing IoT from Deep Learning perspective.

Yazan Otoum, Amiya Nayak

Proceedings of the IEEE Symposium on Computers and Communications, 2020