Intrusion Detection for IoT Environments Through Side-Channel and Machine Learning Techniques

The rise of the Internet of Things (IoT) technology during the past decade has resulted in multiple applications across a large variety of fields. Some of the data processed using this technology can be specially sensitive, and the devices involved can be prone to cyberattacks, which has resulted in...

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Hlavní autoři:	Alejandro Dominguez Campos, Felipe Lemus-Prieto, Jose-Luis Gonzalez-Sanchez, Andres Caro Lindo
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2024-01-01
Edice:	IEEE Access
Témata:	Cybersecurity intrusion detection system (IDS) Internet of Things (IoT) machine learning side-channel
On-line přístup:	https://ieeexplore.ieee.org/document/10422967/
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