Machine Learning-Based Fuzz Testing Techniques: A Survey

Machine Learning-Based Fuzz Testing Techniques: A Survey

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 l...

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Bibliographic Details
Main Authors: Ao Zhang, Yiying Zhang, Yao Xu, Cong Wang, Siwei Li
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Vulnerability discovery
fuzzing
machine learning
Online Access:https://ieeexplore.ieee.org/document/10374347/

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