| Issue |
E3S Web Conf.
Volume 252, 2021
2021 International Conference on Power Grid System and Green Energy (PGSGE 2021)
|
|
|---|---|---|
| Article Number | 01027 | |
| Number of page(s) | 4 | |
| Section | Power Control Technology and Smart Grid Application | |
| DOI | https://doi.org/10.1051/e3sconf/202125201027 | |
| Published online | 23 April 2021 | |
Secure sharing method of network data transmission based on multi-layer encryption technology
Electric Power Research Institute, State Grid Qinghai Electric Power Company, Xining, Qinghai, 810008, China
* E-mail: jyrong2531@qh.sgcc.com.cn
In order to ensure the effect of network data transmission in scientific research institutions and avoid network information from being attacked and damaged, a secure sharing method of network data transmission based on multi-layer encryption technology is proposed. Combined with multi-layer encryption technology, the network data transmission security protocol is constructed to ensure the security and integrity of the initial file. The network information transmission security evaluation system is further constructed. The network transmission path security of scientific research institutions is tracked, evaluated and tested in real time. The network data transmission security sharing platform is constructed to ensure the safe sharing of massive and complex data Experiments have proved that the security and sharing processing effect of the network data transmission security sharing method based on multi-layer encryption technology are significantly improved compared with the traditional methods, and fully meet the research requirements.
© 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.
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.