MODE: A Customizable Open-Source Testing Framework for IoT Systems and Methodologies

With the growing integration of software and hardware, IoT security solutions must become more efficient to maintain user trust, boost enterprise revenue, and support developers. While fuzzing is a common testing method, few solutions exist for fuzzing an entire IoT application stack. The absence of an open-source application set limits accurate methodology comparisons. This paper addresses these gaps by providing an open-source application set with real and artificially injected issues and proposing a framework for guided fuzzing. The solutions are language-agnostic and compatible with various hardware. Finally, we evaluate these methods to assess their impact on vulnerability discovery.