Abstract
The smartphones users have been rapidly increasing over the years, mainly the Android users. The main concern on the Android platform growing is malware detection. Among the various existing approaches in detecting malware, machine learning-based algorithms have achieved a high accuracy in detecting malware. Therefore, Android devices must be provided with the ability to detect malware using machine learning algorithms. Different researchers proposed different Machine learning systems to detect malware based on Machine Learning Algorithms such as SVM, NB, and DNN. This paper surveys the state of the art on Android malware detection techniques by focusing on Machine Learning-based classifiers to detect malicious software on Android devices.
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