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Deep Learning Innovations for Securing Critical Infrastructures

By Rajeev Kumar

Deep Learning Innovations for Securing Critical Infrastructures Computer Science

Deep Learning Innovations for Securing Critical Infrastructures

By Rajeev Kumar

0 - Default Title
Description
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.
Product details
Binding:
Paperback
Number of Pages:
646
Release Date:
2025-02-07
Publication Date:
2025-04-18
Publisher:
IGI Global
Languages:
Original: English
ISBN13:
9798337305646
Weight:
1599 g
Height:
216 cm
Width:
280 cm
Thickness:
34 cm
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