ARM Static Library Identification Framework

A static library identification framework is proposed through studying library as “dcc”, which dynamically extracts binary characteristic file on applications under ARM processor. This framework obtains function modules according to ARM assemble characteristics, on the basis of which dynamic signature is generated due to pattern files through analyzing coding characteristics of assemble addressing mode and that of corresponding binary codes, then signatures of candidate functions are matched with signatures of library functions using hash algorithm to identify library functions. This method can recognize library functions efficiently and solve conflict between massive library files and matching efficiency effectively.