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Optimizing Fuzzing with Seed Scheduling by alghayshy is a document available to read on EtoBox.

What is Optimizing Fuzzing with Seed Scheduling about?

The document presents a novel seed scheduling approach for fuzzing called K-Scheduler, which utilizes graph centrality analysis to improve edge coverage in program testing. By constructing an edge horizon graph and applying Katz centrality, K-Scheduler effectively prioritizes seeds that are more likely to explore unvisited edges, resulting in a 25.89% increase in feature coverage and the discovery of additional bugs compared to existing methods. The approach is implemented and evaluated on various programs,

Author

alghayshy

Language

EN