Static and Dynamic Integrated Analysis Scheme for Android Malware

被引:0
作者
Chun-Hao Yung [1 ]
Wen-Shenq Juang [1 ]
机构
[1] the Department of Information Management, Kaohsiung First University of Science and Technology
关键词
Android; dynamic analysis; malware; static analysis; support vector machine;
D O I
暂无
中图分类号
TP309 [安全保密]; TP316 [操作系统];
学科分类号
081201 ; 081202 ; 0835 ; 0839 ; 1402 ;
摘要
The Android platform is the most popular mobile operating system.With the increase of the number of Android users,a lot of security issues have occurred.In order to detect the malicious behaviors for the installed Android Apps,in this paper,we propose an Android malware detecting scheme by integrating static and dynamic analysis methods.We use Androguard and Droid Box to extract the features,and then remove the irrelevant features.Then we employ the support vector machine(SVM) to classify the Android malware and benignware.From the result of our proposed scheme,the proposed integrated static and dynamic analysis scheme with SVM can effectively detect the Android malware.
引用
收藏
页码:246 / 250
页数:5
相关论文
共 1 条
  • [1] A Tutorial on Support Vector Machines for Pattern Recognition.[J] . Christopher J.C. Burges. Data Min. Knowl. Discov. . 1998 (2)