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http://dx.doi.org/10.3745/KTSDE.2022.11.6.267

A Blockchain-Based Cheating Detection System for Online Examination  

Nam, Goo Mo (탁소프트)
Park, Ji Su (전주대학교 컴퓨터공학과)
Shon, Jin Gon (한국방송통신대학교 컴퓨터과학과)
Publication Information
KIPS Transactions on Software and Data Engineering / v.11, no.6, 2022 , pp. 267-272 More about this Journal
Abstract
Online exams are not limited by time and space. It has the advantage that it does not require a separate exam site for examinees, and there is no time and cost required to move to the exam site. However, the online exam has the disadvantage that various cheating is possible because the exam is conducted in an individual environment. In addition, there is a difficulty in detecting cheating due to the lack of exam supervision methods. In addition, since the exam process and result data exist only as digital data, it is inconvenient to check directly on the server where the exam result is stored in order to check whether the exam result is forged or not. If the data related to the exam is maliciously changed, the authenticity cannot be verified. In this study, we tried to increase the reliability of the online exam by developing a blockchain-based online exam cheating detection system that stores exam progress-related data in the blockchain to detect cheating. Through the experiment, it was confirmed that forgery and falsification are detected as a result of the exam.
Keywords
Blockchain; Online Examination; Cheating Detection;
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Times Cited By KSCI : 1  (Citation Analysis)
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