Issue |
ITM Web Conf.
Volume 21, 2018
Computing in Science and Technology (CST 2018)
|
|
---|---|---|
Article Number | 00011 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/itmconf/20182100011 | |
Published online | 12 October 2018 |
A research on the impact of encryption algorithms on the quality of VPN tunnels’ transmission
1
Department of Applied Informatics, University of Life Sciences, Nowoursynowska Street 159, 02-787 Warsaw, Poland
2
Central Anti-Corruption Bureau, al. Ujazdowskie 9, 00-583 Warsaw, Poland
* Corresponding author: dariusz_strzeciwilk@sggw.pl
The following article presents the results on the impact of encryption algorithms and the cryptographic hash function on the QoS (Quality of Service) transmission in a computer network. A network model supporting data encryption using the AES algorithm and the MD5 and SHA hash functions used in VPN tunnels was designed and tested. The influence of different data length on the quality of transmission in a secured network was studied. The measurements and tests of networks were performed according to two methodologies ITU-T Y.1564 and RFC 2544. The impact of the data encryption mechanism on bandwidth, data loss and maximum delays was examined. The secured network tests were performed with different combinations of encryption algorithms and hash functions of the VPN tunnel in the ESP (Encapsulating Security Payload) transport mode.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/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.