计算机应用与软件2016，Vol.33Issue(12)：329-333,5.DOI:10.3969/j.issn.1000-386x.2016.12.077
基于谷歌距离的安卓恶意软件特征提取方法
EXTRACTION METHOD OF ANDRIOD MALWARE CHARACTERISTICS BASED ON GOOGLE DISTANCE
杨春雷 1孙军梅1
作者信息
- 1. 杭州师范大学杭州国际工程服务学院 浙江 杭州 311121
- 折叠
摘要
Abstract
In view of the traditional feature extraction method based on binary program,a method for feature extraction of Java source code is put forward.The method uses the Google distance to compute the correlation between key codes such as API calls,Android permissions and the common parameters,and mines the common key words in Android malware source code.Then the feature of Android malware is learned by classifying them according to their similarity and comparing the experimental results with the normal software.This method breaks the conven-tional method,which is based on the context of the text,and combines the characteristics of the whole virus software operating environment to record the behavior of the virus.Experiments show that the method is effective.关键词
恶意软件/谷歌距离/安卓/源码扫描Key words
Malware/Google distance/Android/Source code scanning分类
信息技术与安全科学引用本文复制引用
杨春雷,孙军梅..基于谷歌距离的安卓恶意软件特征提取方法[J].计算机应用与软件,2016,33(12):329-333,5.
