Mar 15, 2023 · To solve the above problems, this paper proposes an optimization method of directed fuzzing based on Rich-Branch nodes. In this method, the ...
RDGFuzz: A directed greybox fuzzing optimization method based on Rich ...
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To solve the above problems, this paper proposes an optimization method of directed fuzzing based on Rich-Branch nodes. In this method, the concept of Rich- ...
Jan 12, 2024 · Directed greybox fuzzing guides fuzzers to explore specific objective code areas and has achieved good performance in some scenarios such as ...
RDGFuzz: A directed greybox fuzzing optimization method based on Rich-Branch nodes. ... Zejun Wu, Yiwen Liang: Self-regulating Method for Model Library Based ...
Directed greybox fuzzing is a popular technique for targeted software testing that seeks to find inputs that reach a set of target sites in a program.
We develop and evaluate a simulated annealing-based power schedule that gradually as- signs more energy to seeds that are closer to the target locations while ...
Missing: RDGFuzz: Rich-
Aug 30, 2022 · Directed greybox fuzzing is a popular technique for targeted soft- ware testing that seeks to find inputs that reach a set of target sites in a ...
Missing: RDGFuzz: | Show results with:RDGFuzz:
ML-based directed fuzzing. NEUZZ [40] incorporates a neural network model that predicts the branch coverage of mutated seeds to increase the branch coverage.
2022 RDGFuzz: A directed greybox fuzzing optimization method based on Rich-Branch nodes. El Hichami et al. 2014 Visual Specification Language and Automatic ...
In the previous chapter, we have introduced mutation-based fuzzing, a technique that generates fuzz inputs by applying small mutations to given inputs. In this ...
Missing: RDGFuzz: Rich-