Software piracy detection based on birthmarks of multi-attribute features
Dingyi Fang · Journal of Jilin University · 2013
To cope with the insufficiency of single-attribute features in anti-aggression and in detecting software theft,an algorithm to detect software piracy is proposed based on classification of multi-attribute features.In order to detect software piracy with better accuracy and lower overhead,after semantics-preserving transformations of the software,the algorithm extracts features by the following steps: disassembly analysis,extraction and selection,segmentation and metrics,construction of classifier according to similarities.The algorithm is described and its implementation is depicted.Experiment results show that the algorithm is feasible in improving the robustness and credibility of identification,and resistance to attacks.It overperforms existing similar methods.