Deep Learning Innovations for Securing Critical Infrastructures

Rajeev Kumar, Sheng-Lung Peng, Parag Jain , Ahmed A. Elngar

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Hardback

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English

IGI Global
18 April 2025

Computer security; Network security; Machine learning

Summary
Details

Deep learning innovations play a crucial role in securing critical infrastructures, offering advanced solutions to protect vital systems from sophisticated cyber threats. By leveraging neural networks and advanced algorithms, deep learning enables real-time anomaly detection, pattern recognition, and predictive threat analysis, which are essential for safeguarding critical sectors such as energy, transportation, healthcare, and finance. These technologies can identify vulnerabilities, respond to breaches, and adapt to new attacks, providing a strong defense against cyber risks. As the digital landscape becomes more interconnected, the integration of deep learning into cybersecurity strategies will enhance resilience while ensuring the safe operation of essential services. Deep Learning Innovations for Securing Critical Infrastructures explores the cutting-edge integration of neural networks and artificial intelligence (AI) in modern cybersecurity systems. It examines how AI, particularly neural network models, is revolutionizing cybersecurity by automating threat detection, analyzing complex data patterns, and implementing proactive defense mechanisms. This book covers topics such as blockchain, cloud computing, and event management, and is a useful resource for business owners, computer engineers, data scientists, academicians, and researchers.

Edited by: Rajeev Kumar, Sheng-Lung Peng, Parag Jain, Ahmed A. Elngar
Imprint: IGI Global
Dimensions: Height: 279mm, Width: 216mm, Spine: 35mm
Weight: 1.769kg
ISBN: 9798337305639
Pages: 600
Publication Date: 18 April 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active