Recognition of Template Library Functions Based on Features
基于特征值的模板化库函数识别

The decompilation decode binary instructions and data into high level source code against compllanon, it plays an important part in finding malware and discovering software vulnerability. But the recognition of template library functions is very difficult in decompilation of object-oriented language. This paper analyzes the existing algorithm of library function recognition and aims at the key problem of feature conflicts to introduce an improved algorithm based on feature-recognition. This algorithm can store much more library function informations to avoid feature conflicts and has been verified in some experiments about C＋＋ STL recognition.