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Malware detection techniques and tools for Android

机译:恶意软件检测Android的技术和工具

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摘要

Smartphone, with its powerful capabilities, has been wildly used in every area of our day-to-day life. The enormous kinds of applications installed in these smartphones like WhatsApp and Viber have changed the way people live and communicate. An estimate by Gartner indicates that 90% of the phones by the end of 2018 will be smartphones (MobileStorm, 2014). The most popular mobile operating system today in the industry is Android. However, with the prevalence of Android smartphone, malware authors have started to target it. Although mobile anti-malware solutions could be installed to scan malicious apps before they are made available for download, existing mobile anti-malware software relies exclusively upon a prior knowledge of malware samples in order to extract and deploy signatures for subsequent detection. Moreover, malware writers may update existing malware samples to dodge detection. Hence, this imprudent nature makes them inadequate in identifying new or mutated malware. This paper explores different techniques and tools available to analyse and detect Android malware. It also highlights the features and limitations of these techniques and tools.
机译:智能手机,具有强大的能力,在我们日常生活的每个领域都被疯狂地使用。在这些智能手机中安装的巨大应用程序,如WhatsApp和Viber已经改变了人们的生活和沟通方式。 Gartner的估计表明,2018年底的90%的手机将是智能手机(Mobilestorm,2014)。今天在行业中最受欢迎的移动操作系统是Android。但是,随着Android智能手机的普遍存在,恶意软件作者已经开始瞄准它。虽然可以安装移动反恶意软件解决方案来扫描恶意应用程序,但是现有的移动反恶意软件软件专门依赖于恶意软件样本的先验知识,以便提取和部署签名以进行后续检测。此外,恶意软件作家可以更新现有恶意软件样本以躲避检测。因此,这种不谨慎的性质使它们不足以识别新的或突变的恶意软件。本文探讨了可用于分析和检测Android Malware的不同技术和工具。它还突出了这些技术和工具的特征和限制。

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