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Rapidly Deployable IoT Architecture with Data Security: Implementation and Experimental Evaluation.

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  • 1College of Science and Engineering, Central Michigan University, Mt Pleasant, MI 48859, USA. maitr1s@cmich.edu.

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Summary
This summary is machine-generated.

This study compares encryption algorithms for Internet of Things (IoT) security. Advanced Encryption Standards (AES) with hardware acceleration is best for low energy and speed, while eXtended Tiny Encryption Algorithm (XTEA) suits resource-constrained devices.

Keywords:
AESIoT securityXTEAblock ciphersedge computingmodular architecture

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Area of Science:

  • Pervasive computing and network integration.
  • Embedded systems and data security.

Background:

  • The Internet of Things (IoT) enables pervasive computing but requires modular, deployable architectures.
  • Increasing data security needs in IoT drive research into encryption algorithms.
  • A gap exists in understanding encryption's impact on IoT timing and energy consumption.

Purpose of the Study:

  • To design, implement, and evaluate a deployable IoT architecture with embedded data security.
  • To comparatively analyze the performance of Advanced Encryption Standards (AES) and eXtended Tiny Encryption Algorithm (XTEA) in IoT applications.
  • To identify the effects of encryption algorithms on memory, energy, and execution time.

Main Methods:

  • Developed a rapidly deployable IoT architecture using open-source components.
  • Implemented and evaluated Advanced Encryption Standards (AES) with and without hardware acceleration.
  • Implemented and evaluated eXtended Tiny Encryption Algorithm (XTEA).
  • Conducted comparative performance analysis focusing on memory, energy consumption, and execution time.

Main Results:

  • AES with hardware acceleration demonstrated the lowest energy consumption, ideal for time-sensitive IoT applications.
  • XTEA proved suitable for resource-constrained microcontrollers.
  • Software implementation of AES on 8-bit PIC architecture consumed 6.36x more program memory than XTEA.

Conclusions:

  • The choice of encryption algorithm significantly impacts IoT performance metrics.
  • AES with hardware acceleration offers optimal energy efficiency and speed for demanding IoT scenarios.
  • XTEA provides an efficient solution for memory-limited IoT devices.