CAJ | 학술논문

　　目前Android应用程序的安全问题得到越来越多的关注。提出一种检测Android应用程序中恶意行为的静态分析方法，该方法采用静态数据流分析技术，并实现了常量分析算法，通过跟踪应用程序对常量值的使用来检测恶意订购、资费消耗等多种类型的恶意行为。实验结果表明，该方法可以有效检测出Android应用程序的恶意行为，具有较高的实用性。
　　목전Android응용정서적안전문제득도월래월다적관주。제출일충검측Android응용정서중악의행위적정태분석방법，해방법채용정태수거류분석기술，병실현료상량분석산법，통과근종응용정서대상량치적사용래검측악의정구、자비소모등다충류형적악의행위。실험결과표명，해방법가이유효검측출Android응용정서적악의행위，구유교고적실용성。
Currently, the issues on Android application’s security have attracted more and more attentions. This paper presents a static analysis method to detect malicious behavior in Android applications. The method uses static data flow analysis technology, and implements a const analysis algorithm that tracing how the const value is used by the application to detect different kinds of malicious behavior, such as ordering services and consuming payments maliciously. The result of experiments shows that the method is practical, and can detect the malicious behavior in Android applications effectively.