An Android Malware Detection Technique Using Optimized Permission and API with PCA
作者： Suman R. Tiwari , Ravi U. Shukla
DOI: 10.1109/ICCONS.2018.8662939
关键词: Personally identifiable information 、 Static analysis 、 Android malware 、 Feature (computer vision) 、 Feature extraction 、 Data mining 、 Support vector machine 、 Permission 、 Computer science 、 Malware
摘要: Almost 90% of world population use smartphone and stores their personal information into android device, According to Trend Micro™ survey, there are millions application which is affected with some kind malware steals user's information, hence We have proposed Malware detection technique based on static analysis, uses the API Permissions for in device. achieved 97.25% accuracy logistic regression 96.21 % support vector machine further without any pre-procession our dataset, when we pre processed dataset then obtained 97.72% Accuracy 350 features 94.69% 30 feature using machine. (Abstract)
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