Research on Feedback Protocol Fuzzy Testing of State-Guided Algorithms

Fuzz testing is a powerful technique to discover software vulnerabilities by providing unexpected inputs to assess the behavior of the software under test. Feedback-driven fuzz testing tools like AFL have gained prominence in recent years, making feedback-based gray-box fuzz testing an effective method for vulnerability discovery. Specifically in the realm of network protocol testing, tools like AFLNET, State AFL, and SGfuzz have proven to be highly effective. This study examines the application of state-guided algorithms in recent research, particularly in feedback-driven protocol fuzz testing, offering a comprehensive comparison and valuable insights for future studies.