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

• Published in: IEEE access Vol. 12; pp. 98450 - 98465
• Main Authors: Campos, Alejandro Dominguez, Lemus-Prieto, Felipe, Gonzalez-Sanchez, Jose-Luis, Lindo, Andres Caro
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Computer security; Cybersecurity; Devices; Internet of Things; Internet of Things (IoT); Intrusion detection; intrusion detection system (IDS); Intrusion detection systems; Machine learning; side-channel; Side-channel attacks

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...