The Study of Cheating Detection Mechanisms in Cybersecurity Practical Exercises

Abstract

Achieving proficiency in network security requires thorough practice. However, traditional assignment and assessment methods in teaching have limitations, as they cannot accurately portray the learning process or assist struggling students. This can lead to inappropriate cheating behaviors, diminishing overall teaching effectiveness, and increasing assessment complexity. This study integrates CTF (Capture The Flag) practice models with anti-cheating mechanisms and applies them to network security courses. Through real-world cases, the efficacy of these anti-cheating measures is validated, and data is utilized to create a machine model, aiming to provide more insightful guidance for future teaching endeavors.