Applications of LLMs in Quantum-Aware Cybersecurity Leveraging LLMs for Real-Time Anomaly Detection and Threat Intelligence

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Author(s): Soby T. Ajimon (Amity Institute of Forensic Sciences, Amity University, Noida, India)and Sachil Kumar (Amity Institute of Forensic Sciences, Amity University, Noida, India)
Copyright: 2025
Pages: 46
Source title: Leveraging Large Language Models for Quantum-Aware Cybersecurity
Source Author(s)/Editor(s): Hewa Majeed Zangana (Duhok Polytechnic University, Iraq)and Marwan Omar (Illinois Institute of Technology, USA)
DOI: 10.4018/979-8-3373-1102-9.ch007

Keywords: Cyber and Network Security / Information Science Reference / Knowledge Management and Library Science / Natural Language Processing

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Abstract

The integration of Large Language Models (LLMs) with quantum-enhanced tools is revolutionizing cybersecurity. This chapter explores how these advanced technologies can address critical challenges, including real-time anomaly detection, advanced persistent threats (APTs), and zero-day exploits. By combining LLMs' contextual understanding with the computational power of quantum computing, we propose innovative approaches to strengthen intrusion detection systems, malware analysis, and threat intelligence. The chapter covers automated defense systems, adversarial scenario modeling, and adaptive cybersecurity frameworks that evolve in response to emerging threats. It highlights synergies between LLMs and quantum computing, presenting a dual strategy to detect and mitigate cyber risks more effectively. While discussing technical, ethical, and scalability challenges, the chapter offers practical insights for cybersecurity professionals, equipping them with tools and strategies to defend against increasingly sophisticated threats in a quantum-aware future.

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Applications of LLMs in Quantum-Aware Cybersecurity Leveraging LLMs for Real-Time Anomaly Detection and Threat Intelligence

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