Natural Language Processing for Cyber Threat Intelligence in a Quantum World
Document Type
Book Chapter
Source of Publication
Advances in Information Security, Privacy, and Ethics
Publication Date
1-1-2025
Abstract
The intersection of natural language processing (NLP) and cyber threat intelligence (CTI) is gaining momentum as cybersecurity paradigms evolve to address the challenges posed by quantum computing. This chapter explores how advancements in NLP, particularly through the deployment of large language models (LLMs), can be leveraged to enhance CTI in a quantum-aware context. It discusses the capabilities of NLP systems to process vast amounts of threat data, identify patterns, and predict potential risks while considering the implications of quantum technologies on cybersecurity frameworks. Furthermore, the chapter highlights the role of quantum-aware NLP tools in detecting advanced persistent threats, optimizing response strategies, and ensuring the resilience of digital ecosystems in the face of quantum-enabled cyber threats. By integrating LLMs with quantum computing principles, this research provides insights into the future of CTI and its evolution to counteract complex cyber challenges.
DOI Link
ISBN
9798337311029, 9798337311043
ISSN
Publisher
IGI Global
First Page
345
Last Page
388
Disciplines
Engineering
Keywords
Natural Language Processing, Cyber Threat Intelligence, Quantum Computing, Large Language Models, Advanced Persistent Threats
Recommended Citation
Zangana, Hewa Majeed; Mustafa, Firas Mahmood; Li, Shuai; and Al-Karaki, Jamal N., "Natural Language Processing for Cyber Threat Intelligence in a Quantum World" (2025). All Works. 7070.
https://zuscholars.zu.ac.ae/works/7070
Indexed in Scopus
no
Open Access
no