In order to detect Android malwares,an Android collaborative malware detection system is designed based on cloud computing. Introduction of the concept of cloud computing,Android application is detected through collaboratively calling N antivirus engines in cloud platform. The system mainly consists of information management module and collaborative detection module. The application and charac-teristics library is mapped when detecting Android applications. If matched,the system will display the result stored in the characteristics library;otherwise,it will call N antivirus engines to detect the application. Eventually,the system summarizes the reports from N antivirus engines. The credit score mechanism is utilized to get the result which is fed back and stored to the characteristics library. The experiments show that the average detection rate of system is 97. 17%. Meanwhile,the performance and reliability is high.%为检测Android恶意程序，设计了基于云计算的Android恶意程序协同检测系统。引入云计算的概念，通过在云平台上协同调用N个杀毒引擎来检测Android应用。该系统主要包括两个模块：信息管理模块和协同检测模块。在检测An-droid应用时，将应用与特征库进行匹配。若匹配成功，则显示该应用在特征库中存储的检测结果；若匹配不成功，则调用N个杀毒引擎来对其进行检测。最终，系统对N个引擎的检测报告进行汇总。利用信誉积分机制获得结果，将结果反馈并存入系统特征库。实验结果表明，该系统平均检出率为97.17%，检测性能良好且可靠性高。
展开▼
