Machine Learning-Based Fuzz Testing Techniques: A Survey
Ao Zhang,
Yiying Zhang,
Yao Xu
et al.
Abstract:Fuzz testing is a vulnerability discovery technique that tests the robustness of target programs by providing them with unconventional data. With the rapid increase in software quantity, scale and complexity, traditional fuzzing has revealed issues such as incomplete logic coverage, low automation level and insufficient test cases. Machine learning, with its exceptional capabilities in data analysis and classification prediction, presents a promising approach for improve fuzzing. This paper investigates the la… Show more
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.