Real-time and intelligent private data protection for the Android platform

2015 ◽  
Vol 24 ◽  
pp. 231-242 ◽  
Author(s):  
Shih-Hao Hung ◽  
Shuen-Wen Hsiao ◽  
Yu-Chi Teng ◽  
Roger Chien
Author(s):  
Rishabh Gokhru ◽  
Kautilya Gelot ◽  
Darshit Kotecha ◽  
Piyush Hankare ◽  
Zalak Kansagra

Phone Addiction Monitor is application which is based on android platform. The “Phone Addiction Monitor” is to developed for manage the time of phone usage and overcome the spending time on social media. Using an advanced algorithm, the app studies your phone usage and calculates addiction score in real time. Show the graph on daily, weekly & monthly basis, so it is easy to analyse the data and manage time. Application show the Analysis application wise so you can see how much time you spend on each application. An adult checks his phone a taping 110 times a day. That makes it once every 14 minutes. And for most people this peak to once every 6 seconds in the evenings. So, people easily track the phone usage


2019 ◽  
Author(s):  
José Javier Flors-Sidro ◽  
Mowafa Househ ◽  
Alaa Abd-Alrazaq ◽  
Josep Vidal-Alaball ◽  
Luis Fernandez-Luque ◽  
...  

BACKGROUND Mobile health has become a major channel for the support of people living with diabetes. Accordingly, the availability of diabetes mobile apps has been steadily increasing. Most of the previous reviews of diabetes apps have focused on the apps’ features and their alignment with clinical guidelines. However, there is a lack of knowledge on the actual compliance of diabetes apps with privacy and data security aspects. OBJECTIVE The aim of this study was to assess the level of privacy of diabetes mobile applications to contribute to raising the awareness of final users, developers and data-protection governmental regulators towards privacy issues. METHODS A web scraper capable of retrieving Android apps’ privacy-related information, particularly the dangerous permissions required by the apps, was developed with the aim of analyzing privacy aspects related to diabetes apps. Following the research selection criteria, the original 882 apps were narrowed down to 497 apps, which were finally included in the analysis. RESULTS 60% of diabetes apps may request dangerous permissions, which poses a significant risk for the users’ data privacy. In addition, 30% of the apps do not return their privacy policy website. Moreover, it was found that 40% of apps contain advertising, and that some apps that declared not to contain it actually had ads. 95.4% of the apps were free of cost, and those belonging to the Medical and Health and Fitness categories were the most popular. However, final users do not always realize that the free-apps’ business model is largely based on advertising, and consequently, on sharing or selling their private data, either directly or indirectly, to unknown third-parties. CONCLUSIONS The aforementioned findings unquestionably confirm the necessity to educate users and raise their awareness regarding diabetes apps privacy aspects. For this purpose, this research recommends properly and comprehensively training users, ensuring that governments and regulatory bodies enforce strict data protection laws, devising much tougher security policies and protocols in Android and in the Google Play Store, and the implication and supervision of all stakeholders in the apps’ development process.


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