2023 Vol.6 Apr.N0.2

• Title: Online examination anti-cheating system and method based on multiple mixing algorithm
• Name: Jun Luo1,Pengcheng Cao2,Zijun Yu2
• Company: 1.College of Engineering,Jingdezhen Vocational University of Art,Jingdezhen, 333000,China; 2.Students' Affairs Office,Jingdezhen Vocational University of Art,Jingdezhen, 333000,China)
• Abstract:

  Current examination anti-cheating methods reduce examination cheating by means of camera monitoring and using different content papers, but there are limitations when applied to online examinations, leading to a significant increase in the proportion of cheating behaviors. In order to expand the applicable scope of online examinations and promote the fairness of online examinations, an online examination anti-cheating system and method based on multiple mixed algorithms will be studied. The hardware part of the system with AT91SAM9263 processor control core is built with the support of embedded processing platform and the current operation of online examination terminal. The LCS+LD algorithm is used to similarly filter the questions in the online examination question bank, and the genetic algorithm is used to rearrange the questions to further reduce the possibility of cheating by candidates. In the actual test of the system, nearly 95% of the cheating behaviors could not succeed, and combined with other anti-cheating measures can effectively maintain the fairness of the examination.

  
  

• Keyword: multiple hybrid algorithms; online exams; anti-cheating systems; anti-cheating methods; LCS hybrid LD algorithms; genetic algorithms;
• DOI: 10.12250/jpciams2023090406
• Citation form: Jun Luo.Online examination anti-cheating system and method based on multiple mixing algorithm [J]. Computer Informatization and Mechanical System,2023,Vol.6,pp.26-30

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