A Classifier of Malicious Android Applications

G. Canfora, F. Mercaldo, C. A. Visaggio
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引用次数: 79

Abstract

Malware for smart phones is rapidly spreading out. This paper proposes a method for detecting malware based on three metrics, which evaluate: the occurrences of a specific subset of system calls, a weighted sum of a subset of permissions that the application required, and a set of combinations of permissions. The experimentation carried out suggests that these metrics are promising in detecting malware, but further improvements are needed to increase the quality of detection.
恶意Android应用程序分类器
针对智能手机的恶意软件正在迅速蔓延。本文提出了一种基于三个指标的检测恶意软件的方法,这些指标评估:系统调用的特定子集的出现,应用程序所需的权限子集的加权和,以及一组权限组合。实验表明,这些指标在检测恶意软件方面是有希望的,但需要进一步改进以提高检测质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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