Revolutionizing cybersecurity with deep learning and large language models
Document Type
Book
Source of Publication
Revolutionizing Cybersecurity with Deep Learning and Large Language Models
Publication Date
4-8-2025
Abstract
As cyber threats grow, national security measures struggle to keep pace with sophisticated attacks. Deep learning and large language models (LLMs) revolutionize cybersecurity by enabling advanced threat detection automated response mechanisms and analytics. AI technologies can analyze vast amounts of data, recognize patterns, and identify threats to security systems. Using deep learning and LLMs to transform cybersecurity is essential for addressing both their potential and the challenges that come with their adoption. Revolutionizing Cybersecurity With Deep Learning and Large Language Models explores the intersection of AI, cybersecurity, deep learning, and LLMs, and the potential of these technologies in safeguarding the digital world. It examines real-world applications, ethical challenges, and new technological advancements. This book covers topics such as artificial intelligence, cybersecurity, and threat detection, and is a useful resource for academicians, researchers, security professionals, computer engineers, and data scientists.
DOI Link
ISBN
[9798337332963, 9798337332987]
First Page
1
Last Page
362
Disciplines
Computer Sciences
Keywords
Deep learning, Large language models, Cybersecurity, Threat detection, AI technologies
Scopus ID
Recommended Citation
Zangana, Hewa Majeed; Al-Karaki, Jamal; and Omar, Marwan, "Revolutionizing cybersecurity with deep learning and large language models" (2025). All Works. 7313.
https://zuscholars.zu.ac.ae/works/7313
Indexed in Scopus
yes
Open Access
no