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A study of android malware detection technology evolution

机译:android恶意软件检测技术演进研究

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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操作系统在2015年第一季度以78%的市场份额占领了全球智能手机操作系统(OS)市场;同样,在F-Secure的报告中,2014年第一季度出现的新智能手机威胁中有99%是针对Android设计的。近年来,僵尸网络,后门程序,Rootkits和特洛伊木马等许多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访问等犯罪。通常,它们具有一些共同的特征,例如不断扫描蓝牙以缩短设备的电池寿命,访问GPS以将位置信息发送到Internet,以及阻塞设备与基站之间的通信以瘫痪无线网络。根据这些特征,提出了许多检测方法,例如行为检查,基于权限的分析和静态分析,这些方法已在恶意软件检测软件和防病毒软件中应用。但是,高级黑客可以利用某些技术(例如模拟器检测,打包程序和代码混淆)来防止检测到他们的攻击。本文的重点是回顾使恶意软件检测变得越来越困难的恶意软件演变,以及使智能手机更安全的恶意软件检测软件的开发。最后,我们的调查深入了解了恶意软件的发展趋势,以提高恶意软件检测软件对未知恶意软件的检测率。

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