AI Solutions for Detecting Cyber-Attacks in Information Systems

Name: AI Solutions for Detecting Cyber-Attacks in Information Systems
Price: 346.70 AUD
Availability: OutOfStock
ISBN: 9798337318080

Mohammed Amin Almaiah

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Paperback

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English

Information Science Reference
30 October 2025

Enterprise software; Network security; Artificial intelligence

As cyber threats continue to grow in frequency and scale, traditional security measures often fall short to modern information systems. In response to this threat, AI has emerged as a powerful tool in the ongoing battel against cyber-attacks. By using machine learning and predictive analytics, AI can identify and respond to the real time threats before significant damage. These technologies enable systems to learn from past attacks and evolve to threats. These technologies are essential components of a resilient cybersecurity strategy. AI Solutions for Detecting Cyber-Attacks in Information Systems explores all essential aspects of AI solutions for cybersecurity attacks in information systems. It shares the latest research results and real-world deployment of AI as security measures within information systems. Covering topics such as AI, cyber-attacks, and information systems, this book is an excellent resource for academia, researchers, university staff, postgraduate students, policy makers, developers, cybersecurity providers, and cybersecurity analysists.

Edited by: Mohammed Amin Almaiah
Imprint: Information Science Reference
Country of Publication: United States
Dimensions: Height: 254mm, Width: 178mm,
ISBN: 9798337318080
Pages: 394
Publication Date: 30 October 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Active

Dr. Mohammed Amin Almaiah is an Associate Professor in Cybersecurity at University of Jordan. He has published over 120 research papers in highly reputed journals such as the Engineering and Science Technology, an International Journal, Education and Information Technologies, IEEE Access and others. Most of his publications were indexed under the ISI Web of Science and Scopus. His current research interests include Cybersecurity, cyber risk assessment and cyber risk management.