Cross-Inlining Binary Function Similarity Detection
Ang Jia, Ming Fan, Xi Xu, Wuxia Jin, Haijun Wang, Ting Liu
Abstract
Binary function similarity detection plays an important role in a wide range of security applications. Existing works usually assume that the query function and target function share equal semantics and compare their full semantics to obtain the similarity. However, we find that the function mapping is more complex, especially when function inlining happens.
Topics & Concepts
Similarity (geometry)Computer scienceFunction (biology)Semantics (computer science)Range (aeronautics)Binary numberTheoretical computer scienceData miningArtificial intelligenceProgramming languageMathematicsArithmeticBiologyMaterials scienceEvolutionary biologyComposite materialImage (mathematics)Network Security and Intrusion DetectionAdvanced Malware Detection TechniquesSpam and Phishing Detection