TY  - JOUR
IS  - 129
JF  - ERCIM NEWS
Y1  - 2022///
SP  - 17
SN  - 0926-4981
AV  - public
TI  - IoT Malware Detection with Machine Learning
A1  -  Buttyán Levente
A1  -  Ferenc Rudolf
ID  - publicatio25019
EP  - 19
UR  - https://ercim-news.ercim.eu/en129/special/iot-malware-detection-with-machine-learning
N2  - Embedded devices are increasingly connected to the Internet to provide new and innovative applications in many domains. However, these IoT devices can also contain security vulnerabilities, which allow attackers to compromise them using malware. We report on our recent work on using machine learning for efficient and effective malware detection on resource-constrained IoT devices.
ER  -