HIGHLIGHTS
- who: Alberto Huertas Celdrán from the Department of Information and Communications Engineering, University of Murcia, Murcia, Spain have published the article: Intelligent and behavioral-based detection of malware in IoT spectrum sensors, in the Journal: (JOURNAL)
- what: On the one hand, classic static analysis approaches focus on detecting well-known malware signatures. The aim of this work is to create a framework that applies device fingerprinting and ML to detect heterogeneous malware affecting IoT spectrum sensors. Below, the details of the two botnet samples used in this work to infect the ElectroSense sensor are . . .
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