Quantitative Evaluation of Android Application Privacy Security Based on Privacy Policy and Behaviour

Abstract

The emerging landscape of Android applications in mobile phones encompasses industries involving millions and billions of app developers to improve usability and comfort for smartphone users. Popular apps are categorized into social media, entertainment, games, news, lifestyle, health and fitness. In this vein, privacy security is categorized into two major sections: distribution and development of particularities and running software on the user's mobile. According to European Union, the major issues of legal and regulations arising from the requirement from the GDPR, the Personal information protection law of China and other related regulations combined with the behaviour and privacy policy of application. In this article, Privacy security was quantitatively analyzed through data collection and analysis of scores by comparing the comprehensive use of ML, NLP and other technologies. E-privacy was regulated in the environment of mobile applications. The features were analyzed in privacy and data protection. The scope of this study is to evaluate the privacy security of the application in Android devices based on the privacy policy and behaviour.