Electromagnetic Side-Channel Analysis for IoT Forensics: Challenges, Framework, and Datasets

Electromagnetic Side-Channel Analysis for IoT Forensics: Challenges, Framework, and Datasets

Electromagnetic (EM) side-channel radiation from Internet of Things (IoT) devices are shown to be effective at acquiring forensic insights during digital investigations. These EM radiation patterns can be analysed with the help of machine learning algorithms to detect internal behaviours of IoT devi...

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Bibliographic Details
Main Authors: Asanka P. Sayakkara, Nhien-An Le-Khac
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
IoT forensics
electromagnetic side-channel
IoT devices
datasets
software behaviour detection
machine learning
Online Access:https://ieeexplore.ieee.org/document/9513264/

Internet

https://ieeexplore.ieee.org/document/9513264/

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