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Design and Implementation of an Automatic Detection Mechanism for Malicious Information Based on Macro Data in MS-Office File

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2025, 11(1), pp.107~114
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : January 21, 2025
  • Accepted : February 17, 2025
  • Published : February 28, 2025

Lee, Hyung Woo 1

1한신대학교

Accredited

ABSTRACT

In this paper, we designed and implemented a system that applies machine learning techniques to automatically detect malicious macro information embedded in MS Office files. When an MS Office file contains macro functionality, it may perform abnormal actions on the user’s system, potentially leading to the leakage of sensitive personal information stored within the system. Therefore, a system is needed to automatically detect malicious scripts embedded in MS Office files and verify any tampering. To achieve this, this study applies supervised and unsupervised learning-based machine learning models to design and implement an automatic detection system for determining whether an MS Office file contains malicious macro data. Experimental results demonstrate that the proposed system provides improved detection performance compared to existing methods, ensuring a safer environment for the use of MS Office files.

Citation status

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