Comparison of Regression Methods in Permission Based Android Malware Detection
作者： Durmus Ozkan Sahin , Oguz Emre Kural , Sedat Akleylek , Erdal Kilic
DOI: 10.1109/SIU49456.2020.9302502
关键词:
摘要: In this study, applications developed for Android platforms are tested by static analysis based on machine learning. Permissions that have an important place in the security of operating system used as attributes. Using regression techniques, which among types learning, tested. Four different techniques study. These linear regression, multilayered neural network, additive and sequential minimal optimization. As a result 10 cross-validations, best is obtained while worst The from 0:8655 according to Pearson correlation coefficient.
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