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

Runchen Gao, Li Shen, Yuqi Gao, Rui Guo

2021Cybersecurity17 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Computer scienceEncryptionCloud computingCryptographyOverhead (engineering)Enhanced Data Rates for GSM EvolutionComputer securityEdge computingComputer networkDistributed computingEmbedded systemInternet of ThingsOperating systemTelecommunicationsCryptographic Implementations and SecurityChaos-based Image/Signal EncryptionPhysical Unclonable Functions (PUFs) and Hardware Security
A lightweight cryptographic algorithm for the transmission of images from road environments in self-driving | Litcius