What is it about?
The Internet of Things and applications of Internet of thing (IoT) are becoming popular among various users nowadays, because it makes their life more easy. Because of its spread, attacks that target these various devices have increased dramatically, that may cause the unavailable of entire system. Some types of these attacks are man in the middle attack, sybil attack, denial of service attack, and replay attack. So, whenever the attacks have increased, solutions of the detection of malware in the internet of thing have also increased. one of the current solutions is a deep learning algorithms, In many research fields, deep learning techniques have demonstrated their capacity to detect anomalies accurately.
Featured Image
Photo by Markus Spiske on Unsplash
Why is it important?
This scientific paper presents a survey of deep learning algorithms used in IoT
Perspectives
When writing this scientific paper, I discovered many deep learning algorithms, as well as learning about IoT applications and how to benefit from deep learning algorithms in the field of IoT.
Hiba Hameed
Read the Original
This page is a summary of: Deep learning algorithms for IoT security(survey), January 2024, American Institute of Physics,
DOI: 10.1063/5.0181698.
You can read the full text:
Contributors
The following have contributed to this page
