首页> 外文会议>2014 IEEE 38th Annual International Computers, Software and Applications Conference >A Forensic Analysis of Android Malware -- How is Malware Written and How it Could Be Detected?
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A Forensic Analysis of Android Malware -- How is Malware Written and How it Could Be Detected?

机译:Android恶意软件的取证分析-如何编写恶意软件以及如何检测到恶意软件?

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We consider in this paper the analysis of a large set of malware and benign applications from the Android ecosystem. Although a large body of research work has dealt with Android malware over the last years, none has addressed it from a forensic point of view. After collecting over 500,000 applications from user markets and research repositories, we perform an analysis that yields precious insights on the writing process of Android malware. This study also explores some strange artifacts in the datasets, and the divergent capabilities of state-of-the-art antivirus to recognize/define malware. We further highlight some major weak usage and misunderstanding of Android security by the criminal community and show some patterns in their operational flow. Finally, using insights from this analysis, we build a naive malware detection scheme that could complement existing anti virus software.
机译:我们在本文中考虑对Android生态系统中的大量恶意软件和良性应用程序进行分析。尽管在过去的几年中,大量的研究工作都针对Android恶意软件,但是从法医的角度来看,还没有人解决这个问题。从用户市场和研究资料库收集了超过500,000个应用程序之后,我们进行了分析,从而对Android恶意软件的编写过程产生了宝贵的见解。这项研究还探索了数据集中的一些奇怪伪像,以及先进的防病毒软件识别/定义恶意软件的不同功能。我们还将重点介绍犯罪社区对Android安全的一些主要弱用法和误解,并在其操作流程中显示一些模式。最后,根据分析得出的见解,我们构建了一个天真的恶意软件检测方案,可以对现有的防病毒软件进行补充。

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