Abstract:
TPL detection is crucial to Android malware analysis. Recent research emphasizes signature-based methods. Previous methods have limitations like high time complexity and low precision, especially with similar TPLs and different TPL versions.
LibRoad, a signature-based TPL detection method, addresses these issues. Our method uses application preprocessing and pairwise package matching to save time. The former divides an application into primary and non-primary modules so we can analyze packages in non-primary modules that are most likely imported from TPLs.
The latter uses the package name-based matching policy for non-obfuscated packages and the signature-based matching policy for obfuscated packages. The former has a lower time complexity than the latter.
Our approach also uses a perfectly matched package and TPL determination component to identify TPLs with low false positive and false negative rates. We test several real-world applications and two ground truth bases. Experimental results show that LibRoad can achieve 99.86 percent recall and 11.48 percent false positive rate without sacrificing efficiency.
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