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

Rareș Cristea,C. Paduraru,Alin Stefanescu

2025 · DOI: 10.5220/0013267500003928
International Conference on Evaluation of Novel Approaches to Software Engineering · 0 Citations

TLDR

This paper provides an open-source application set with real and artificially injected issues and proposes a framework for guided fuzzing, which are language-agnostic and compatible with various hardware.

Abstract

: 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.