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A Preliminary Study On the Sustainability of Android Malware Detection
[article]
2018
arXiv
pre-print
Machine learning-based malware detection dominates current security defense approaches for Android apps. However, due to the evolution of Android platforms and malware, existing such techniques are widely limited by their need for constant retraining that are costly, and reliance on new malware samples that may not be timely available. As a result, new and emerging malware slips through, as seen from the continued surging of malware in the wild. Thus, a more practical detector needs not only to
arXiv:1807.08221v3
fatcat:jexir6e6lvbsddcgqmvq4e7ubi