A Coverage-Guided Fuzzing Method for Automatic Software Vulnerability Detection Using Reinforcement Learning-Enabled Multi-Level Input Mutation

Fuzzing is a popular and effective software testing technique that automatically generates or modifies inputs to test the stability and vulnerabilities of a software system, which has been widely applied and improved by security researchers and experts. The goal of fuzzing is to uncover potential we...

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Principais autores:	Van-Hau Pham, Do Thi Thu Hien, Nguyen Phuc Chuong, Pham Thanh Thai, Phan The Duy
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2024-01-01
coleção:	IEEE Access
Assuntos:	Reinforcement learning fuzzing vulnerability detection coverage fuzzing
Acesso em linha:	https://ieeexplore.ieee.org/document/10580893/
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