L-IDS: A lightweight hardware-assisted IDS for IoT systems to detect ransomware attacks

Abstract

In recent years, ransomware has evolved to target Internet of things (IoT) devices, such as medical equipment and thermostats. Traditional ransomware detection methods may not be effective for resource-constrained IoT devices as IoT-based ransomware is geared towards impairing functionality rather than accessing data. Therefore, this article proposes L-IDS, a lightweight hardware-assisted intrusion detection system that combines hardware-assisted security, such as Trusted Execution Environment, with machine learning algorithms to detect and mitigate ransomware inside an IoT system with fewer resources. The proposed approach can more effectively protect IoT systems from ransomware attacks and requires less resources than traditional security scanning methods.