Trends In Android Malware Detection

Kaveh Shaerpour, A. Dehghantanha, R. Mahmod
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引用次数: 38

Abstract

This paper analyzes different Android malware detection techniques from several research papers, some of these techniques are novel while others bring a new perspective to the research work done in the past. The techniques are of various kinds ranging from detection using host based frameworks and static analysis of executable to feature extraction and behavioral patterns. Each paper is reviewed extensively and the core features of each technique are highlighted and contrasted with the others. The challenges faced during the development of such techniques are also discussed along with the future prospects for Android malware detection. The findings of the review have been well documented in this paper to aid those making an effort to research in the area of Android malware detection by understanding the current scenario and developments that have happened in the field thus far.
Android恶意软件检测的趋势
本文从几篇研究论文中分析了不同的Android恶意软件检测技术,其中一些技术是新颖的,而另一些则为过去的研究工作带来了新的视角。这些技术种类繁多,从使用基于主机的框架的检测和可执行文件的静态分析到特征提取和行为模式。对每篇论文进行了广泛的回顾,并突出了每种技术的核心特征,并与其他技术进行了对比。本文还讨论了这些技术发展过程中所面临的挑战以及Android恶意软件检测的未来前景。本文详细记录了审查的结果,以帮助那些努力研究Android恶意软件检测领域的人了解目前的情况和该领域迄今为止发生的发展。
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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