| Issue |
E3S Web of Conf.
Volume 402, 2023
International Scientific Siberian Transport Forum - TransSiberia 2023
|
|
|---|---|---|
| Article Number | 03040 | |
| Number of page(s) | 12 | |
| Section | Mathematical Modeling, IT, Industrial IoT, AI, and ML | |
| DOI | https://doi.org/10.1051/e3sconf/202340203040 | |
| Published online | 19 July 2023 | |
Assessment of the reliability of the information system for identifying mobile devices by IMEI code
1 Academy of the Ministry of Internal Affairs of the Republic of Uzbekistan, Tashkent, Uzbekistan
2 TUIT named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan
3 Yangier branch of the Tashkent Chemical-Technological Institute, Yangier, Sirdaryo, Uzbekistan
4 Academy of the Ministry of Internal Affairs of the Republic of Uzbekistan, Tashkent, Uzbekistan
5 Ministry of Internal Affairs of the Republic of Uzbekistan, Tashkent, Uzbekistan
* Corresponding author: jamshid.isroilov@gmail.com
This paper evaluates the reliability of the information system for identifying mobile devices by the IMEI code (International Mobile Equipment Identifier). A system for identifying mobile devices by IMEI code is presented, which includes a database that is accessible both locally and remotely. The system allows collecting, storing, and processing information about all devices imported into the country and used in the country. Indicators for calculating the reliability of the information system are selected. Only server hardware with software is considered, and communication lines or other devices connected to the server are not considered. The situation is considered when the database of IMEI-codes and the software part are located on the same equipment, additional redundancy or duplication of nodes, elements, modules are not provided. A method for calculating the reliability of the “server - software” complex is proposed and analytical expressions for calculating the reliability are developed. The obtained results indicate good reliability and fault tolerance of the developed information system.
© The Authors, published by EDP Sciences, 2023
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.