A Little Goes a Long Way: Tuning Configuration Selection for Continuous Kernel Fuzzing
Published in 47th IEEE/ACM International Conference on Software Engineering (ICSE), 2025
This research introduces an optimized method for selecting configurations in continuous kernel fuzzing environments. By fine-tuning the configuration selection process, we achieved a more efficient and effective approach to vulnerability discovery in large codebases. The study presents empirical results demonstrating improvements in both coverage and bug detection capabilities.
Recommended citation: Sanan Hasanov, Stefan Nagy, Paul Gazzillo. (2025). "A Little Goes a Long Way: Tuning Configuration Selection for Continuous Kernel Fuzzing." 47th IEEE/ACM International Conference on Software Engineering (ICSE).
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