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Internet of Things (IoT) devices have become ubiquitous and are spread acrossmany application domains including the industry, transportation, healthcare,and households. However, the proliferation of the IoT devices has raised theconcerns about their security, especially when observing that manymanufacturers focus only on the core functionality of their products due toshort time to market and low-cost pressures, while neglecting security aspects.Moreover, it does not exist any established or standardized method formeasuring and ensuring the security of IoT devices. Consequently,vulnerabilities are left untreated, allowing attackers to exploit IoT devicesfor various purposes, such as compromising privacy, recruiting devices into abotnet, or misusing devices to perform cryptocurrency mining.  In this paper, we present a practical Host-based Anomaly DEtection System forIoT (HADES-IoT) that represents the last line of defense. HADES-IoT hasproactive detection capabilities, provides tamper-proof resistance, and it canbe deployed on a wide range of Linux-based IoT devices. The main advantage ofHADES-IoT is its low performance overhead, which makes it suitable for the IoTdomain, where state-of-the-art approaches cannot be applied due to theirhigh-performance demands. We deployed HADES-IoT on seven IoT devices toevaluate its effectiveness and performance overhead. Our experiments show thatHADES-IoT achieved 100% effectiveness in the detection of current IoT malwaresuch as VPNFilter and IoTReaper; while on average, requiring only 5.5% ofavailable memory and causing only a low CPU load.

HADES-IoT: A Practical Host-Based Anomaly Detection System for IoT Devices (Extended Version)