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TLS Protocol Analysis Using IoTST-An IoT Benchmark Based on Scheduler Traces.

Rafael Salles1, Ricardo Farias1

  • 1Systems Engineering and Computer Science Program (PESC/COPPE/UFRJ), Federal University of Rio de Janeiro, Rio de Janeiro 21941-972, Brazil.

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|March 11, 2023
PubMed
Summary
This summary is machine-generated.

A new benchmark, IoTST, evaluates Internet of Things (IoT) device efficiency by analyzing synchronized stack traces. It optimizes performance and energy consumption, crucial for efficient IoT sensor node processing.

Keywords:
ECCECDHEECDSAESP32IoT benchmarkingRSATLS 1.3

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Embedded Systems

Background:

  • The Internet of Things (IoT) requires efficient device processing and communication protocols.
  • Evaluating and comparing new IoT devices, applications, and protocols is challenging.
  • Existing benchmarks may not adequately address the specific needs of sensor node efficiency.

Purpose of the Study:

  • To introduce IoTST, a novel benchmark for evaluating local processing efficiency in IoT devices.
  • To enable precise measurement of overhead and facilitate performance and energy optimization.
  • To provide a benchmark solution unaffected by network state fluctuations for reliable comparisons.

Main Methods:

  • Developed IoTST using per-processor synchronized stack traces for isolated overhead determination.
  • Implemented IoTST on commercial off-the-shelf (COTS) devices for practical evaluation.
  • Benchmarked Transport-Layer Security (TLS) 1.3 handshake cipher suites on multi-core processors.

Main Results:

  • IoTST provides comparable, detailed results for IoT device performance optimization.
  • Identified significant performance differences between TLS 1.3 cipher suites.
  • Demonstrated that specific cipher suites (Curve25519 and RSA) can yield up to four times lower computation latency than others (P-256 and ECDSA) at the same security level.

Conclusions:

  • IoTST is an effective tool for benchmarking IoT device processing efficiency and energy consumption.
  • Cipher suite selection critically impacts TLS 1.3 performance in IoT devices.
  • Optimizing cipher suite choice is essential for enhancing IoT communication security and efficiency.