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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Comparative Performance Analysis of Lightweight Cryptographic Algorithms on Resource-Constrained IoT Platforms.

Tiberius-George Sorescu1, Vlad-Mihai Chiriac1, Mario-Alexandru Stoica1

  • 1Department of Telecommunications, "Gheorghe Asachi" Technical University of Iași, 700506 Iași, Romania.

Sensors (Basel, Switzerland)
|September 27, 2025
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Summary
This summary is machine-generated.

Selecting the right cryptography for Internet of Things (IoT) devices is crucial. This study compares algorithms on a Nordic Thingy:53, finding XChaCha20, Salsa20, and ASCON offer speed, while others impact battery life.

Keywords:
IoT securityNordic Thingy:53bluetooth meshenergy efficiencylightweight cryptographyperformance analysisstream ciphers

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Area of Science:

  • Cybersecurity
  • Embedded Systems
  • Applied Cryptography

Background:

  • Resource constraints (power, memory, energy) in Internet of Things (IoT) devices pose significant security challenges.
  • Modern cryptographic algorithms must be evaluated for efficiency on constrained platforms.

Purpose of the Study:

  • To conduct a comparative performance analysis of selected cryptographic algorithms on the resource-constrained Nordic Thingy:53 IoT platform.
  • To assess energy consumption and performance under varying network conditions.

Main Methods:

  • Evaluated ciphers: ASCON, Salsa20, Rabbit, Sosemanuk, HC-256, and XChaCha20.
  • Utilized a dual test-bench methodology measuring energy and performance.
  • Tested under low-data-rate Bluetooth mesh and high-throughput bulk data transfer scenarios.

Main Results:

  • Significant performance variations observed among algorithms.
  • XChaCha20, Salsa20, and ASCON32 showed superior speed in high-throughput tests.
  • HC-256 was impractically slow for large data; Bluetooth mesh tests highlighted cryptography's impact on battery life.

Conclusions:

  • Empirical data supports informed selection of cryptographic solutions for IoT.
  • Balancing security, energy efficiency, and performance is key for real-world IoT applications.
  • Cryptographic algorithm choice directly impacts IoT device battery longevity.