Performance Evaluation of Lightweight Stream Ciphers for Real-Time Video Feed Encryption on ARM Processor

Mohsin Khan (), Håvard Dagenborg and Dag Johansen
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Mohsin Khan: Department of Computer Science, UiT The Arctic University of Norway, 9037 Tromsø, Norway
Håvard Dagenborg: Department of Computer Science, UiT The Arctic University of Norway, 9037 Tromsø, Norway
Dag Johansen: Department of Computer Science, UiT The Arctic University of Norway, 9037 Tromsø, Norway

Future Internet, 2024, vol. 16, issue 8, 1-15

Abstract: In resource-intensive Internet of Things applications, Lightweight Stream Ciphers (LWSCs) play a vital role in influencing both the security and performance of the system. Numerous LWSCs have been proposed, each offering certain properties and trade-offs that carefully balance security and performance requirements. This paper presents a comprehensive evaluation of prominent LWSCs, with a focus on their performance and resource consumption, providing insights into efficiency, efficacy, and suitability in the real-world application of resource-intensive live video feed encryption on an ARM processor. The study involves the development of a benchmarking tool designed to evaluate key metrics, including encryption frame rate, throughput, processing cycles, memory footprint, ROM utilization, and energy consumption. In addition, we apply the E−Rank metric, which combines key performance and resource metrics to derive a unified comparative measure for overall software performance.

Keywords: lightweight cryptography; stream cipher; performance evaluation; Internet of Things; resource-intensive application (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2024
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