Reverse Engineering Workload Measure based on Function Classification

Reverse engineering(RE) is the most basic task of network security companies, but how to quantify the workload of the RE is lack of research.Many related researches focus on developing extensive array of tools to support RE or using RE to discover new vulnerabilities.Therefore, we focus on developing a tool to help analysts or the comanpanies to measure their RE workload as well as understanding the binaries in a statistical way.We classify the functions in binary files into 7 types,apply the function classification in our dataset and obtain some findings which can help analysts master the workload of binary files to be reversed in a statistical way.