Revolutionizing Cybersecurity With Deep Learning and Large Language Models - Couverture souple

Couverture souple

ISBN 13 : 9798337332970

Editeur : Information Science Reference, 2025

Synopsis

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.

A propos du livre

À propos des auteurs

Hewa Majeed Zangana is an Assistant Professor currently affiliated with Duhok Polytechnic University (DPU) in Iraq. He holds a Doctorate in Philosophy (PhD) degree in ITM, which he is currently pursuing at DPU. Prior to his current role, Hewa Majeed Zangana has held various academic and managerial positions. He previously served as an Assistant Professor at Ararat Private Technical Institute and a Lecturer at DPU's Amedi Technical Institute, and Nawroz University. He has also held administrative positions such as Curriculum Division Director - Presidency of DPU, Information Unit Manager of The Research Center at Duhok Polytechnic University, Head of the Computer Science Department at Nawroz University, and Acting Dean of the College of Computer and IT at Nawroz University. Hewa Majeed Zangana's research interests span a wide range of topics in computer science, including network systems, information security, mobile communication, data communication, and intelligent systems. He has published extensively in peer-reviewed journals such as IEEE, EAI, IGI-Global, Inform, Indonesian Journal of Education and Social Science, TIJAB, INJIISCOM, and AJNU. In addition to his research contributions, Hewa Majeed Zangana has been actively involved in editorial roles such as Editorial Board Member at Applied and Computational Engineering (ewapublishing.org), serving as a Reviewer for the Scientific Journals of Nawroz University. He has also been a member of various scientific committees and administrative bodies at Nawroz University, including the Scientific Curriculum Development Committee, the Student Follow-up Program Committee, and the Committee for the Preparation of the Rules of Procedure for Consultative Offices.

Marwan Omar received the master's degree in information systems and technology from the University of Phoenix, in 2009, and the Ph.D. degree in digital systems security from Colorado Technical University, in 2012. He is currently an Associate Professor at the Illinois Institute of Technology, where he conducts research as well as teaches cyber security.

Détails de l'édition

• Éditeur: Information Science Reference
• Date d'édition: 2025
• Langue: anglais
• ISBN 13: 9798337332970
• Reliure: Broché
• Nombre de pages: 378
• Éditeur: Zangana Hewa Majeed, Al-Karaki Jamal, Omar Marwan
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible