2020
DOI: 10.48550/arxiv.2011.05218
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SeqMobile: A Sequence Based Efficient Android Malware Detection System Using RNN on Mobile Devices

Abstract: With the proliferation of Android malware, the demand for an effective and efficient malware detection system is on the rise. The existing device-end learning based solutions tend to extract limited syntax features, such as permissions and API calls, to meet a certain time constraint of mobile devices. However, unlike sequence-based features, syntax features lack the semantics which can represent the potential malicious behaviors and further result in more robust model with high accuracy for malware detection.… Show more

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