Customized Machine Learning-Based Hardware-Assisted Malware Detection in Embedded Devices

The emerging embedded systems, which account for a wide range of applications are often highly resource-constrained challenging the conventional software-based methods traditionally deployed for detecting and containing malware in general purpose computing systems. In addition to the complexity and cost (computing and storage), the software-based malware detection methods mostly rely on the static signature analysis of the running programs,...