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books
| book details |
Edge Intelligence: Advanced Deep Transfer Learning for IoT Security
Edited by Jawad Ahmad, Edited by Shahid Latif, Edited by Wadii Boulila, Edited by Anis Koubaa, Edited by Mujeeb Ur Rehman, Edited by Imdad Ullah Khan
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| on special |
normal price: R 5 773.95
Price: R 5 484.95
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| book description |
Edge Intelligence: Advanced Deep Transfer Learning for IoT Security presents a comprehensive exploration into the critical intersection of cybersecurity, edge computing, and deep learning, offering practitioners, researchers, and cybersecurity professionals a definitive guide to protect IoT/IIoT systems. This book delves into the synergistic potential of edge computing and advanced machine/deep learning algorithms, providing insights into lightweight and resource-efficient models with a special focus on resource-constrained edge devices. The rapidly evolving nature of cyberattacks underscores the need for updated and integrated resources that address the intersection of cybersecurity, edge computing, and deep learning. The authors address this issue by offering practical insights, lightweight models, and proactive defense mechanisms tailored to the unique challenges of securing edge devices and networks. This book is not only written to provide its audience effective strategies to detect and mitigate network intrusions by leveraging edge intelligence and advanced deep transfer learning techniques but also to provide practical insights and implementation guidelines tailored to resource-constrained edge devices.
| product details |
Normally shipped |
Publisher | Elsevier Health Sciences
Published date | 20 Jan 2026
Language |
Format | Paperback / softback
Pages | 272
Dimensions | 235 x 191 x 0mm (L x W x H)
Weight | 450g
ISBN | 978-0-4433-8297-0
Readership Age |
BISAC | computers / artificial intelligence
| other options |
Normally shipped |
Readership Age |
Normal Price | R 6 537.95
Price | R 6 210.95
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