Applying Lightweight Cryptography to Enhance Drone RC Security

This study presents an optimized implementation of a lightweight cryptographic algorithm designed to enhance the security of control data communication between the RC controller and the drone. The LEA-GCM algorithm was implemented on a low-power software platform based on the ARM Cortex-M4 processor. Our experimental results suggest that this implementation meets the critical performance requirements for drone RC security by achieving minimal power consumption and low latency, potentially improving the overall security of the drone system.

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Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/ictc62082.2024.10826630
Citations
3
Primary Topic
Cryptographic Implementations and Security
Type
article
Field-Weighted Citation Impact
1.04
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article

Applying Lightweight Cryptography to Enhance Drone RC Security

Joungil Yun, Yousung Kang, Byoungkoo Kim, Seungyong Yoon
3 citations
Cryptographic Implementations and Security
1.04
article

Applying Lightweight Cryptography to Enhance Drone RC Security

Joungil Yun, Yousung Kang, Byoungkoo Kim, Seungyong Yoon
article en
3 citations

Abstract

This study presents an optimized implementation of a lightweight cryptographic algorithm designed to enhance the security of control data communication between the RC controller and the drone. The LEA-GCM algorithm was implemented on a low-power software platform based on the ARM Cortex-M4 processor. Our experimental results suggest that this implementation meets the critical performance requirements for drone RC security by achieving minimal power consumption and low latency, potentially improving the overall security of the drone system.

Electronics and Telecommunications Research Institute (KR)
Affordable and clean energy
Openalex Percentile: Top 18%
Cryptographic Implementations and Security
1.04
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