A lightweight cryptographic algorithm for the transmission of images from road environments in self-driving

Abstract With the large-scale application of 5G in industrial production, the Internet of Things has become an important technology for various industries to achieve efficiency improvement and digital transformation with the help of the mobile edge computing. In the modern industry, the user often s...

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Main Authors: Runchen Gao, Shen Li, Yuqi Gao, Rui Guo
Format: Article
Language:English
Published: SpringerOpen 2021-02-01
Series:Cybersecurity
Subjects:
5G
Online Access:https://doi.org/10.1186/s42400-020-00066-2
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spelling doaj-788a433f8c464f4bb86bbe552ad4256e2021-02-07T12:03:38ZengSpringerOpenCybersecurity2523-32462021-02-014111110.1186/s42400-020-00066-2A lightweight cryptographic algorithm for the transmission of images from road environments in self-drivingRunchen Gao0Shen Li1Yuqi Gao2Rui Guo3School of Cyberspace Security, Xi’an University of Posts &TelecommunicationsSchool of Cyberspace Security, Xi’an University of Posts &TelecommunicationsSchool of Telecommunication and Information Engineering, Xi’an University of Posts & TelecommunicationsSchool of Cyberspace Security, Xi’an University of Posts &TelecommunicationsAbstract With the large-scale application of 5G in industrial production, the Internet of Things has become an important technology for various industries to achieve efficiency improvement and digital transformation with the help of the mobile edge computing. In the modern industry, the user often stores data collected by IoT devices in the cloud, but the data at the edge of the network involves a large of the sensitive information, which increases the risk of privacy leakage. In order to address these two challenges, we propose a security strategy in the edge computing. Our security strategy combines the Feistel architecture and short comparable encryption based on sliding window (SCESW). Compared to existing security strategies, our proposed security strategy guarantees its security while significantly reducing the computational overhead. And our GRC algorithm can be successfully deployed on a hardware platform.https://doi.org/10.1186/s42400-020-00066-25GInternet of things (IoT)Mobile edge computingFeistel architectureSCESWGRC algorithm
collection DOAJ
language English
format Article
sources DOAJ
author Runchen Gao
Shen Li
Yuqi Gao
Rui Guo
spellingShingle Runchen Gao
Shen Li
Yuqi Gao
Rui Guo
A lightweight cryptographic algorithm for the transmission of images from road environments in self-driving
Cybersecurity
5G
Internet of things (IoT)
Mobile edge computing
Feistel architecture
SCESW
GRC algorithm
author_facet Runchen Gao
Shen Li
Yuqi Gao
Rui Guo
author_sort Runchen Gao
title A lightweight cryptographic algorithm for the transmission of images from road environments in self-driving
title_short A lightweight cryptographic algorithm for the transmission of images from road environments in self-driving
title_full A lightweight cryptographic algorithm for the transmission of images from road environments in self-driving
title_fullStr A lightweight cryptographic algorithm for the transmission of images from road environments in self-driving
title_full_unstemmed A lightweight cryptographic algorithm for the transmission of images from road environments in self-driving
title_sort lightweight cryptographic algorithm for the transmission of images from road environments in self-driving
publisher SpringerOpen
series Cybersecurity
issn 2523-3246
publishDate 2021-02-01
description Abstract With the large-scale application of 5G in industrial production, the Internet of Things has become an important technology for various industries to achieve efficiency improvement and digital transformation with the help of the mobile edge computing. In the modern industry, the user often stores data collected by IoT devices in the cloud, but the data at the edge of the network involves a large of the sensitive information, which increases the risk of privacy leakage. In order to address these two challenges, we propose a security strategy in the edge computing. Our security strategy combines the Feistel architecture and short comparable encryption based on sliding window (SCESW). Compared to existing security strategies, our proposed security strategy guarantees its security while significantly reducing the computational overhead. And our GRC algorithm can be successfully deployed on a hardware platform.
topic 5G
Internet of things (IoT)
Mobile edge computing
Feistel architecture
SCESW
GRC algorithm
url https://doi.org/10.1186/s42400-020-00066-2
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