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Efficiency and Security Evaluation of Lightweight Cryptographic Algorithms for Resource-Constrained IoT Devices.

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  • 1Department of Computer Science and Engineering, PES University, Bengaluru 560085, India.

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Summary

This study compares lightweight cryptography (LWC) algorithms AES-128, SPECK, and ASCON for Internet of Things (IoT) security. SPECK demonstrated superior performance on resource-constrained IoT devices, balancing security and efficiency.

Keywords:
Arduino MicroArduino NanoIoTLWCbenchmarkingresource-constrained devices

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Embedded Systems

Background:

  • The proliferation of Internet of Things (IoT) devices necessitates robust security solutions.
  • Lightweight Cryptography (LWC) is crucial for enhancing privacy and confidentiality in IoT ecosystems.
  • Selecting the optimal LWC algorithm is challenging due to numerous options and varying performance characteristics.

Purpose of the Study:

  • To compare the performance and security robustness of three distinct LWC algorithms: AES-128, SPECK, and ASCON.
  • To evaluate these algorithms on IoT boards with limited computational power and memory.
  • To provide data-driven insights for selecting appropriate cryptographic solutions for IoT applications.

Main Methods:

  • Performance evaluation of AES-128, SPECK, and ASCON based on execution time and memory utilization.
  • Latency and throughput measurements for each algorithm under constrained IoT environments.
  • Assessment of security robustness in the context of resource limitations.

Main Results:

  • SPECK exhibited superior performance metrics compared to AES-128 and ASCON on resource-constrained IoT platforms.
  • The study identified key performance differences influencing algorithm suitability for specific IoT applications.
  • SPECK offers a favorable balance between security and performance for devices with limited capabilities.

Conclusions:

  • SPECK emerges as a highly suitable lightweight cryptography algorithm for resource-constrained IoT devices.
  • Informed selection of LWC algorithms is critical for optimizing security and performance in IoT deployments.
  • Further research can explore other LWC candidates and advanced security considerations for IoT.