Year: 2025
Type: preprint
Abstract: In this paper we show E-FuzzEdge, a novel fuzzing architecture targeted towards improving the throughput of fuzzing campaigns in contexts where scalability is unavailable. E-FuzzEdge addresses the inefficiencies of hardware-in-the-loop fuzzing for microcontrollers by optimizing execution speed. We evaluated our system against state-of-the-art benchmarks, demonstrating significant performance improvements. A key advantage of E-FuzzEdgearchitecture is its compatibility with other embedded fuzzing techniques that perform on device testing instead of firmware emulation. This means that the broader embedded fuzzing community can integrate E-FuzzEdge into their workflows to enhance overall testing efficiency.
Source: arXiv (Cornell University)
Authors: Rusconi, Davide, Yousef, Osama, Picca, Mirco, Toffalini, Flavio, Lanzi, Andrea
Language: English
Subfield: Software
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4414816518
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