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- W2592945169 abstract "To devise efficient approaches and tools for detecting malicious packages in the Android ecosystem, researchers are increasingly required to have a deep understanding of malware. There is thus a need to provide a framework for dissecting malware and locating malicious program fragments within app code in order to build a comprehensive dataset of malicious samples. Towards addressing this need, we propose in this work a tool-based approach called HookRanker, which provides ranked lists of potentially malicious packages based on the way malware behaviour code is triggered. With experiments on a ground truth set of piggybacked apps, we are able to automatically locate the malicious packages from piggybacked Android apps with an accuracy of 83.6% in verifying the top five reported items." @default.
- W2592945169 created "2017-03-16" @default.
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- W2592945169 date "2017-05-01" @default.
- W2592945169 modified "2023-10-16" @default.
- W2592945169 title "Automatically Locating Malicious Packages in Piggybacked Android Apps" @default.
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- W2592945169 doi "https://doi.org/10.1109/mobilesoft.2017.6" @default.
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