1 citations · 1 across the 2 of their papers we have counts for
8 papers
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…
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…
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…
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…
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…