Journal of Information Technology Applications and Management

Korea Data Strategy Society (한국데이터전략학회)
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Big Signature Method for Plagiarism Detection

표절 탐지를 위한 비트 시그니처 기법

  • Kim, Woosaeng (Department of Computer Software, Kwangwoon University) ;
  • Kang, Kyucheol (Department of Computer Software, Kwangwoon University)
  • Received : 2017.01.03
  • Accepted : 2017.03.24
  • Published : 2017.03.31
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Abstract

Recently, the problem of plagiarism has emerged as a big social issue because not only literature but also thesis become the target of plagiarism. Even the government requires conformation for plagiarism of high-ranking official's thesis as a standard of their ethical morality. Plagiarism is not just direct copy but also paraphrasing, rewording, adapting parts, missing references or wrong citations. This makes the problem more difficult to handle adequately. We propose a plagiarism detection scheme called a bit signature in which each unique word of document is represented by 0 or 1. The bit signature scheme can find the similar documents by comparing their absolute and relative bit signatures. Experiments show that a bit signature scheme produces better performance for document copy detection than existing similar schemes.

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References

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