SecureLine World: Developing a Malware Detection System for LINE Communication with VirusTotal

Authors

  • Nattanun Phupichit Master of Science program students, Faculty of Information Technology, Sripatum University
  • Surasak Mungsing Lecturer for the Master of Science program, Faculty of Information Technology, Sripatum University

Keywords:

SecureLine, Malware Detection, VirusTotal, Cybersecurity, LINE

Abstract

           The objective of this research aims to develop a malware detection and alert system in potentially dangerous files or links sent via the LINE application, using VirusTotal technology to analyze risks through scanning with multiple security systems. The system is designed under the name of SecureLine to quickly and accurately check and alert users about risks using 1,000 samples of data, consisting of 840 links and 160 files, to enhance cybersecurity.

            The results of the system performance evaluation test using 1,000 samples of data to check files or links communicated via the LINE application showed that the file and link safety results were 95.00 percent, meaning that the system can effectively detect risks of potentially dangerous files and links. In particular, when considering the results of the system analysis from all samples, checking the number of 840 links, the safety results were 95.24 percent, which is higher than the general average. And checking the number of 160 files gave a safety result of 93.75 percent, which is still significantly and clearly effective in checking file safety. In addition, the results of the study also help understand the operation and efficiency of the system in real situations and provide important information for future system development and improvement.

References

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Published

2025-04-28