摘要
文章提出一种基于系统调用功能的Android恶意软件检测方法。通过构建Android系统应用程序数据文件保护机制,针对手机病毒、恶意软件损害及木马入侵等安全隐患,设计了一种专用的基于系统调用的Android恶意软件检测架构。结合系统调用频数特征,描述应用程序执行时的非法行为,并以k NN算法为基础,结合实例对某Android系统手机恶意软件进行检测分析。
This paper presents an Android malware detection method based on system call function. Through the construction of Android system application data file protection mechanism, aiming at mobile phone virus, malicious software damage and Trojan inva-ion and other security risks. A special Android malware detection architecture based on system call is designed. According to the characteristics of system call frequency, this paper describes the illegal behavior when the application program is executed, and based on the kNN algorithm, analyzes the malware of a mobile phone in a Android system with examples.
出处
《科技创新与应用》
2018年第2期193-194,共2页
Technology Innovation and Application