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Fuzzing Test Data Generation Technique to Cyber-Physical System by Exploring Token Tree

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2025, 11(2), pp.185~191
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : January 20, 2025
  • Accepted : February 25, 2025
  • Published : April 30, 2025

Incheol Shin 1

1국립부경대학교

Accredited

ABSTRACT

The Korea Internet of Things Society. In particular, Internet of Things (IoTs) devices, which are composed of Cyber Physical Systems (CPS), which combine cyber systems and physical systems, have a greater impact from potential vulnerabilities than other Information Technologies(IT) systems due to their characteristics of operating in public places. Therefore, fuzzing tests are useful as a tool for improving security by identifying vulnerabilities in such IoT devices and removing them, but existing IT-based fuzzing tests are not very useful due to the security characteristics of the IoT. In order to overcome this shortcoming, this study proposes a vulnerability identification technique that considers the operation and security characteristics of the IoT by proposing a Token Tree-based fuzzing test data mutation technique.

Citation status

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