| Issue |
E3S Web Conf.
Volume 270, 2021
International scientific forum on computer and energy Sciences (WFCES 2021)
|
|
|---|---|---|
| Article Number | 01013 | |
| Number of page(s) | 11 | |
| DOI | https://doi.org/10.1051/e3sconf/202127001013 | |
| Published online | 09 June 2021 | |
Risk assessment model of compromising personal data on mobile devices
MIREA – Russian Technological University, 119454, Moscow, Russia
* Corresponding author: izergin@mirea.ru
Development of the information space to an avalanche-like increase in the volume of mobile data on the Internet. The generated digital portraits of users are becoming one of the main products for sale. The high quality of user digital portraits and their number is achieved through the use of intelligent data processing methods and the presence of large data sets. The volume of data processed by mobile devices and the number of modern services that collect various types of information make the issue of ensuring the confidentiality of user information the most important. Existing security mechanisms for mobile operating systems, as a rule, are aimed at neutralizing harmful effects and do not ensure the safety of personal data from legitimate services. The article proposes a model for assessing the risks of compromising personal data on mobile devices based on the correlation analysis of public information about service developers in order to detect the possibility of aggregating data from various sources.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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