How to Measure Similarity between Source Codes of Cryptocurrencies for Detecting Plagiarism (Lightning Talk)

Won-Seok Choi, Hyoungshick Kim
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Abstract

Since Bitcoin appeared in 2009, various other cryptocurrencies have also begun to attract attention and supporters. At the same time, because many cryptocurrency investors want to make a profit using cryptocurrencies, cryptocurrency exchanges list them without any special or technical verification. Cryptocurrency developers often write white papers to describe their cryptocurrency's special techniques and expected future worth. However, based solely on the contents of the white paper and/or a surface inspection of the source code, we cannot know if the developer has simply leveraged existing code bases without incorporating novel functionality. In order to address this problem, we present a framework to measure the similarity between the source codes of cryptocurrencies for detecting plagiarism.
如何衡量加密货币源代码之间的相似度以检测剽窃(闪电演讲)
自2009年比特币出现以来,其他各种加密货币也开始吸引关注和支持者。与此同时,由于许多加密货币投资者希望使用加密货币获利,加密货币交易所在没有任何特殊或技术验证的情况下将其上市。加密货币开发者经常写白皮书来描述他们的加密货币的特殊技术和预期的未来价值。然而,仅仅基于白皮书的内容和/或对源代码的表面检查,我们无法知道开发人员是否仅仅利用了现有的代码库而没有合并新的功能。为了解决这个问题,我们提出了一个框架来衡量加密货币源代码之间的相似性,以检测剽窃。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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