7 citations · 17 across the 4 of their papers we have counts for
6 papers
SecFD-FL: Frequency-Decoupled Federated Learning with Secure Aggregation for Charging Load Forecasting in Internet of Electric Vehicles
Mamunur Rashid, Nan Chen, Syed Ali Asad Rizvi +1
Accurate charging load forecasting is essential for the reliability and efficiency of the Internet of Electric Vehicles (IoEV), yet it is challenging on two fronts: charging demand…
Hybrid LLM-Enhanced Intrusion Detection for Zero-Day Threats in IoT Networks
Mohammad F. Al-Hammouri, Yazan Otoum, Rasha Atwa +1
This paper presents a novel approach to intrusion detection by integrating traditional signature-based methods with the contextual understanding capabilities of the GPT-2 Large Lan…
LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems
Yazan Otoum, Arghavan Asad, Amiya Nayak
The increasing complexity and scale of the Internet of Things (IoT) have made security a critical concern. This paper presents a novel Large Language Model (LLM)-based framework fo…
LLMs meet Federated Learning for Scalable and Secure IoT Management
Yazan Otoum, Arghavan Asad, Amiya Nayak
The rapid expansion of IoT ecosystems introduces severe challenges in scalability, security, and real-time decision-making. Traditional centralized architectures struggle with late…
Differential Privacy-Driven Framework for Enhancing Heart Disease Prediction
Yazan Otoum, Amiya Nayak
With the rapid digitalization of healthcare systems, there has been a substantial increase in the generation and sharing of private health data. Safeguarding patient information is…
Blockchain Meets Adaptive Honeypots: A Trust-Aware Approach to Next-Gen IoT Security
Yazan Otoum, Arghavan Asad, Amiya Nayak
Edge computing-based Next-Generation Wireless Networks (NGWN)-IoT offer enhanced bandwidth capacity for large-scale service provisioning but remain vulnerable to evolving cyber thr…