Machine Learning Based Malware Detection in Wireless Devices Using Power Footprints

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

“…Al-tekreeti et al [13] propose a system that analyzes the frequency spectrum of the power signal of an Android smartphone to detect malicious behavior. They extract 376 features from that analysis and then perform Principal Component Analysis (PCA) to remove redundant features.…”