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ORCIDYazan Otoum
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2020 – today
- 2025
[c7]Yazan Otoum, Amiya Nayak:
Differential Privacy-Driven Framework for Enhancing Heart Disease Prediction. ICC 2025: 5456-5462- [i9]Yazan Otoum, Arghavan Asad, Amiya Nayak:
LLMs meet Federated Learning for Scalable and Secure IoT Management. CoRR abs/2504.16032 (2025) - [i8]Yazan Otoum, Arghavan Asad, Amiya Nayak:
Blockchain Meets Adaptive Honeypots: A Trust-Aware Approach to Next-Gen IoT Security. CoRR abs/2504.16226 (2025) - [i7]Yazan Otoum, Amiya Nayak:
Differential Privacy-Driven Framework for Enhancing Heart Disease Prediction. CoRR abs/2504.18007 (2025) - [i6]Yazan Otoum, Arghavan Asad, Amiya Nayak:
LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems. CoRR abs/2505.00240 (2025) - [i5]Yazan Otoum, Arghavan Asad, Ishtiaq Ahmad:
Open-Source LLM-Driven Federated Transformer for Predictive IoV Management. CoRR abs/2505.00651 (2025) - [i4]Jikesh Thapa, Gurrehmat Chahal, Serban Voinea Gabreanu, Yazan Otoum:
Phishing Detection in the Gen-AI Era: Quantized LLMs vs Classical Models. CoRR abs/2507.07406 (2025) - [i3]Mohammad F. Al-Hammouri, Yazan Otoum, Rasha Jamal Atwa, Amiya Nayak:
Hybrid LLM-Enhanced Intrusion Detection for Zero-Day Threats in IoT Networks. CoRR abs/2507.07413 (2025) - [i2]Jenifer Paulraj, Brindha Raghuraman, Nagarani Gopalakrishnan, Yazan Otoum:
Autonomous AI-based Cybersecurity Framework for Critical Infrastructure: Real-Time Threat Mitigation. CoRR abs/2507.07416 (2025) - [i1]Humza Ashraf, Syed Muhammad Danish, Aris Leivadeas, Yazan Otoum, Zeeshan Sattar:
Energy-Aware Code Generation with LLMs: Benchmarking Small vs. Large Language Models for Sustainable AI Programming. CoRR abs/2508.08332 (2025) - 2024
- [j6]Yazan Otoum
, Navya Gottimukkala, Neeraj Kumar, Amiya Nayak:
Machine Learning in Metaverse Security: Current Solutions and Future Challenges. ACM Comput. Surv. 56(8): 215:1-215:36 (2024) - [j5]Yazan Otoum, Chaosheng Hu, Eyad Haj Said, Amiya Nayak:
Enhancing Heart Disease Prediction with Federated Learning and Blockchain Integration. Future Internet 16(10): 372 (2024) - [c6]Yazan Otoum, Paritosh Singh, Amiya Nayak:
Advancing IoMT Defenses: Deep Collaborative Learning for Robust Healthcare Security. GLOBECOM 2024: 2966-2971 - 2023
- [j4]Eyad Haj Said, Yazan Otoum, Amiya Nayak:
A Scalable Meta Learning-Based Model to Secure IoT Networks. IEEE Internet Things Mag. 6(2): 116-120 (2023) - 2022
- [j3]Yazan Otoum, Dandan Liu, Amiya Nayak:
DL-IDS: a deep learning-based intrusion detection framework for securing IoT. Trans. Emerg. Telecommun. Technol. 33(3) (2022) - [j2]Yazan Otoum, Vinay Chamola, Amiya Nayak:
Federated and Transfer Learning-Empowered Intrusion Detection for IoT Applications. IEEE Internet Things Mag. 5(3): 50-54 (2022) - [c5]Yazan Otoum, Sai Krishna Yadlapalli, Amiya Nayak:
FTLIoT: A Federated Transfer Learning Framework for Securing IoT. GLOBECOM 2022: 1146-1151 - [c4]Yazan Otoum, Yue Wan, Amiya Nayak:
Transfer Learning-Driven Intrusion Detection for Internet of Vehicles (IoV). IWCMC 2022: 342-347 - 2021
- [j1]Yazan Otoum, Amiya Nayak:
AS-IDS: Anomaly and Signature Based IDS for the Internet of Things. J. Netw. Syst. Manag. 29(3): 23 (2021) - [c3]Yazan Otoum, Amiya Nayak:
Signature-Over-The-Air with Transfer Learning IDS for Intelligent Connected Vehicles (ICV). GLOBECOM (Workshops) 2021: 1-6 - [c2]Yazan Otoum, Yue Wan, Amiya Nayak:
Federated Transfer Learning-Based IDS for the Internet of Medical Things (IoMT). GLOBECOM (Workshops) 2021: 1-6 - 2020
- [c1]Yazan Otoum, Amiya Nayak:
On securing IoT from Deep Learning perspective. ISCC 2020: 1-7
Coauthor Index
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