most citedAutonomous AI-based Cybersecurity Framework for Critical Infrastructure: Real-Time Threat Mitigation

8 citations · 32 across the 8 of their papers we have counts for

collaborators

9 papers

cs.SE2025★ 1 cited

Energy-Aware Code Generation with LLMs: Benchmarking Small vs. Large Language Models for Sustainable AI Programming

Humza Ashraf, Syed Muhammad Danish, Aris Leivadeas +2

Large Language Models (LLMs) are widely used for code generation. However, commercial models like ChatGPT require significant computing power, which leads to high energy use and ca…

cs.CR2025★ 8 cited

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

Jenifer Paulraj, Brindha Raghuraman, Nagarani Gopalakrishnan +1

Critical infrastructure systems, including energy grids, healthcare facilities, transportation networks, and water distribution systems, are pivotal to societal stability and econo…

cs.CR2025★ 5 cited

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…

cs.CR2025★ 5 cited

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

Jikesh Thapa, Gurrehmat Chahal, Serban Voinea Gabreanu +1

Phishing attacks are becoming increasingly sophisticated, underscoring the need for detection systems that strike a balance between high accuracy and computational efficiency. This…

cs.AI2025★ 1 cited

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

Yazan Otoum, Arghavan Asad, Ishtiaq Ahmad

The proliferation of connected vehicles within the Internet of Vehicles (IoV) ecosystem presents critical challenges in ensuring scalable, real-time, and privacy-preserving traffic…

cs.CR2025

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…

cs.LG2025

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…

cs.AI2025★ 7 cited

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…

cs.CR2025★ 5 cited

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…