TY - JOUR
T1 - Quantitative Evaluation of Android Application Privacy Security Based on Privacy Policy and Behaviour
AU - Tello, Alcides Bernardo
AU - Alam, Sohaib
AU - Salve, Archana Ravindra
AU - Kumari, B. M.Kusuma
AU - Arora, Meena
N1 - Publisher Copyright:
© 2023, Innovative Information Science and Technology Research Group. All rights reserved.
PY - 2023/9/1
Y1 - 2023/9/1
N2 - 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.
AB - 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.
KW - Android Application
KW - Behaviour
KW - Data Protection
KW - Privacy Policy
KW - Quantitative Analysis
UR - http://www.scopus.com/inward/record.url?scp=85174745149&partnerID=8YFLogxK
U2 - 10.58346/JOWUA.2023.I3.019
DO - 10.58346/JOWUA.2023.I3.019
M3 - Article
AN - SCOPUS:85174745149
SN - 2093-5374
VL - 14
SP - 253
EP - 266
JO - Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications
JF - Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications
IS - 3
ER -