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A study of android malware detection technology evolution

机译:Android恶意软件检测技术演化研究

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According to the report of International Data Corporation (IDC), Android OS has dominated the worldwide smart phone Operating System (OS) Market with a 78% share at the first quarter of 2015; also, in the report of F-Secure, 99% of new smart phone threats emerged in the first quarter of 2014 are designed for Android. In recent years, many kinds of malware, such as Botnet, Backdoor, Rootkits, and Trojans, start to attack smart phones for conducting crimes such as fraud, service misuse, information stealing, and root access. In general, they have some shared characteristics, such as constantly scanning for Bluetooth to shorten the device's battery life, accessing the GPS to send the position information to Internet, and jamming the communication between device and the base station to paralyze the wireless network. According to these characteristics, there are a lot of detection method proposed, such as behavior checking, permission-based analysis, and Static Analysis, applied in malware detection software and anti-virus software. However, advanced hackers can utilize some techniques, such as emulator detection, packer, and code obfuscation, to prevent their attacks from being detected. This paper focuses on reviewing the malware evolution which makes malware detection more and more difficult, as well as the development of malware detection software which makes smart phones safer. Finally, our survey gives an insight into the malware evolution trend to increase the detecting rate of unknown malware for malware detection software.
机译:根据国际数据公司(IDC)的报告,Android OS在全球智能手机操作系统(OS)市场占据了2015年第一季度的78%;此外,在F-Secure的报告中,2014年第一季度出现的99%的新智能手机威胁是为Android设计的。近年来,僵尸网络,后门,rootkits等种类的恶意软件,开始攻击智能手机以进行欺诈,服务滥用,信息窃取和root访问权。一般来说,它们具有一些共享特性,例如不断扫描蓝牙,缩短设备的电池寿命,访问GPS将位置信息发送到互联网,并卡地在设备和基站之间的通信使无线网络瘫痪。根据这些特征,提出了许多检测方法,例如在恶意软件检测软件和防病毒软件中应用的行为检查,基于许可的分析和静态分析。然而,高级黑客可以利用一些技术,例如仿真器检测,包装器和代码混淆,以防止其攻击被检测到。本文侧重于审查恶意软件演变,这使恶意软件检测越来越困难,以及使智能手机更安全的恶意软件检测软件的开发。最后,我们的调查介绍了恶意软件演进趋势,以提高恶意软件检测软件的未知恶意软件的检测率。

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