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Machine Learning Based Malicious Android Application Detection

机译:基于机器学习的恶意Android应用程序检测

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摘要

The ultimate aim of the project is to improve permission for detecting the malicious android mobile application using machine learning algorithms. In recent years, the usages of smartphones are increasing steadily and also growth of Android application users are increasing. Due to growth of Android application users, some intruders are creating malicious android applications as a tool to steal the sensitive data and identity theft/fraud mobile bank, mobile wallets. There are so many malicious applications detection tools and software are available. But an effectiveness of malicious applications detection tools is the need for the hour. They are needed to tackle and handle new complex malicious apps created by intruder or hackers.
机译:该项目的最终目标是提高使用机器学习算法检测恶意android移动应用程序的权限。近年来,智能手机的使用量在稳步增长,安卓应用程序用户也在不断增长。由于安卓应用程序用户的增长,一些入侵者正在创建恶意安卓应用程序,作为窃取敏感数据和身份盗窃/欺诈手机银行、手机钱包的工具。有很多恶意应用程序检测工具和软件可用。但恶意应用程序检测工具的有效性是当务之急。需要它们来应对和处理入侵者或黑客创建的新的复杂恶意应用程序。

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