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• W3036603968 endingPage "116379" @default.
• W3036603968 startingPage "116363" @default.
• W3036603968 abstract "Android malware has been in an increasing trend in recent years due to the pervasiveness of Android operating system. Android malware is installed and run on the smartphones without explicitly prompting the users or without the user’s permission, and it poses great threats to users such as the leakage of personal information and advanced fraud. To address these threats, various techniques are proposed by researchers and practitioners. Static analysis is one of these techniques, which is widely applied to Android malware detection and can detect malware quickly and prohibit malware before installation. To provide a clarified overview of the latest work in Android malware detection using static analysis, we perform a systematic literature review by identifying 98 studies from January 2014 to March 2020. Based on the features of applications, we first divide static analysis in Android malware detection into four categories, which include Android characteristic-based method, opcode-based method, program graph-based method, and symbolic execution-based method. Then we assess the malware detection capability of static analysis, and we compare the performance of different models in Android malware detection by analyzing the results of empirical evidence. Finally, it is concluded that static analysis is effective to detect Android malware. Moreover, there is a preliminary result that neural network model outperforms the non-neural network model in Android malware detection. However, static analysis still faces many challenges. Thus, it is necessary to derive some novel techniques for improving Android malware detection based on the current research community. Moreover, it is essential to establish a unified platform that is used to evaluate the performance of a series of techniques in Android malware detection fairly." @default.
• W3036603968 created "2020-06-25" @default.
• W3036603968 creator A5003308712 @default.
• W3036603968 creator A5006823284 @default.
• W3036603968 creator A5070527811 @default.
• W3036603968 creator A5075174750 @default.
• W3036603968 date "2020-01-01" @default.
• W3036603968 modified "2023-10-09" @default.
• W3036603968 title "A Systematic Literature Review of Android Malware Detection Using Static Analysis" @default.
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