计算机与数字工程2019，Vol.47Issue(6)：1446-1451,1481,7.DOI:10.3969/j.issn.1672-9722.2019.06.034
Android平台下的基于应用分类和敏感权限挖掘的恶意应用检测方法研究
Research on Malicious Application Detection Method Based on Application Classification and Sensitive Permission Mining Under Android Platform
刘倩 1韩斌1
作者信息
- 1. 江苏科技大学计算机学院 镇江 212000
- 折叠
摘要
Abstract
The rapid development of Android smartphones has brought convenience to people's daily life,while the number of Android malicious applications is increasing,so how to detect malicious applications effectively has become a hot issue in the field of information security in recent years. Aiming at this problem,this paper proposes a malicious application detection method based on application classification and sensitive permission. First,the application sample set is obtained from the Google Store by catego?ry. Then,the classification model is formed by using the SMO algorithm. And the sensitive permission item set of each class of appli?cation is obtained by frequent pattern mining of these applied sample sets,and the sensitive threshold value of the application is cal?culated according to the use of sensitive permission in each class of application. When an application is installed,the classification model is used to classify the application correctly,and the sensitivity of the application is calculated,the sensitivity value of the ap?plication is computed,and the sensitivity threshold value is compared to determine whether it is a malicious application. The experi?mental results show that the method is feasible and effective,and the accuracy of the detection of malicious applications is im?proved.关键词
Android智能手机/应用分类/敏感权限/恶意应用检测Key words
Android smartphone/application classification/sensitive permissions/malicious application detection分类
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刘倩,韩斌..Android平台下的基于应用分类和敏感权限挖掘的恶意应用检测方法研究[J].计算机与数字工程,2019,47(6):1446-1451,1481,7.
