A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Research on Android Malware Detection Technology Based on Improved SVM Algorithm
2017
DEStech Transactions on Engineering and Technology Research
In the training of the classifier, Android malware detection based on the traditional SVM algorithm often mixed with some feature vector, which increase the burden of the training device and reduce the computational power of the classifier, the actual effect of test and training time is often affected. In order to solve this problem, this paper proposed an Android malware detection technology based on improved SVM algorithm. After the feature vector extraction of normal software and simulated
doi:10.12783/dtetr/mcae2017/15962
fatcat:2cbne7gxk5e3bmqz4lqrzmmnru