Empowering IoT Resilience: Hybrid Deep Learning Techniques for Enhanced Security

Empowering IoT Resilience: Hybrid Deep Learning Techniques for Enhanced Security

<p dir="ltr">The Internet of Things (IoT) has dramatically changed human context with the environment, ensuring productivity, comfort, and quality of life through a variety of services and applications. Nevertheless, the rapid growth of IoT devices has introduced significant security...

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Bibliographic Details
Main Author: Muhammad Maaz (5600600) (author)
Other Authors: Ghufran Ahmed (6298196) (author), Ahmad Sami Al-Shamayleh (17122985) (author), Adnan Akhunzada (20151648) (author), Shahbaz Siddiqui (6296942) (author), Abdulla Hussein Al-Ghushami (20748818) (author)
Published: 2024
Subjects:
Information and computing sciences
Artificial intelligence
Cybersecurity and privacy
Data management and data science
Distributed computing and systems software
Machine learning
IoT
machine learning (ML)
deep learning (DL)
cybersecurity
DDOS
injection attacks
backdoor
botnet
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