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A vulnerability detection method for IoT protocol based on parallel fuzzy algorithm.

Yinfeng Han1, Peng Wang2, Chaoqun Kang2

  • 1State Grid Zhejiang Electric Power Company, Ningbo Power Supply Company, Ningbo, Zhejiang, 315010, China.

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|July 2, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for detecting vulnerabilities in Internet of Things (IoT) communication protocols. The improved algorithm significantly reduces missed and false detection rates, enhancing overall IoT security.

Keywords:
Communication protocolGenetic algorithmImproved parallelization fuzzy testing algorithmPower distribution IoTTest caseVulnerability detection

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Area of Science:

  • Computer Science
  • Network Security
  • Cybersecurity

Background:

  • Internet of Things (IoT) communication protocols face significant security vulnerabilities due to escalating network attacks.
  • Effective detection of these vulnerabilities is critical for enhancing IoT communication security and enabling timely remediation.

Purpose of the Study:

  • To propose a distributed vulnerability detection method for IoT communication protocols.
  • To improve the security and reliability of IoT communication protocols through enhanced vulnerability detection.

Main Methods:

  • Constructed a communication architecture for distributed IoT networks based on design principles and comparative protocol analysis.
  • Formalized and decomposed communication protocols, followed by preprocessing vulnerability detection samples.
  • Employed a genetic algorithm to enhance a parallelized fuzzy testing algorithm for vulnerability detection.

Main Results:

  • The improved algorithm effectively reduced both missed detection rates (highest at 4.0%) and false detection rates.
  • Achieved high detection efficiency, demonstrating the method's effectiveness.
  • Experimental results confirmed the method's good performance and reliability in identifying vulnerabilities.

Conclusions:

  • The proposed distributed IoT communication protocol vulnerability detection method offers a robust solution for enhancing network security.
  • The enhanced parallelized fuzzy testing algorithm provides a reliable and efficient approach to mitigating security risks in IoT communications.