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Privacy and Security Issues Due to Permissions Glut in Android System

机译:由于Android系统中权限限制而导致的隐私和安全问题

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The security and privacy issues are very paramount of any kind these days. Android operating system supported with the broad range of applications which deals with data which holds personal data to useless data within the devices, where privacy and security issues raise for leakage or misuse of personal or sensitive data. As individual permissions of the Android application gives access to a resource on the device, But the permission gap, i.e., the abundance permissions which are certainly not necessary for the “apps”, makes way for this privacy, security, and data leakage issues. This paper presents the privacy and security issues due to permission gaps of Android applications, and We employ Natural Language Processing (NLP) to analyze permissions from manifest.xml of the application package. Then the analyzed permissions are regulated into a matrix for further reduction into dangerous applications and normal applications. The recital generated by the “Permissions Ranking Module” is confined into Permission Division Algorithm, further based on the output, the apps are executed on an Isolated area with limited or restricted resources and OS with resources.
机译:如今,安全和隐私问题是任何形式的首要问题。 Android操作系统受广泛的应用程序支持,这些应用程序处理的数据会将个人数据保存为设备中的无用数据,在这些情况下,隐私和安全性问题会导致泄漏或滥用个人或敏感数据。由于Android应用程序的个人权限可以访问设备上的资源,但是权限差距(即“应用程序”当然不需要的丰富权限)为这种隐私,安全性和数据泄漏问题让路。本文介绍了由于Android应用程序的权限差距导致的隐私和安全问题,我们采用自然语言处理(NLP)来分析应用程序包的manifest.xml中的权限。然后,将分析出的权限调整到一个矩阵中,以进一步减少到危险应用程序和正常应用程序中。由“权限排序模块”生成的演奏会被限制在权限划分算法中,进一步基于输出,在资源受限或受限的隔离区域以及具有资源的OS上执行应用。

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