Protocol Fuzzing- A Comparison between LLM-Assisted and Mutation-Based Fuzzers
As the demand for secure software and hardware solutions increase in our modern digitalized society, the importance of reliable and cost-effective product testing is apparent. One such testing technique is fuzzing, which involves generating large amounts of malformed and randomized data to stress test system interfaces. This study aimed to compare traditional fuzzing methods to modern approaches a
