{"title":"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)","authors":"Won-Seok Choi, Hyoungshick Kim","doi":"10.1109/ICSSA45270.2018.00032","DOIUrl":null,"url":null,"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.","PeriodicalId":223442,"journal":{"name":"2018 International Conference on Software Security and Assurance (ICSSA)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How to Measure Similarity between Source Codes of Cryptocurrencies for Detecting Plagiarism (Lightning Talk)\",\"authors\":\"Won-Seok Choi, Hyoungshick Kim\",\"doi\":\"10.1109/ICSSA45270.2018.00032\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":223442,\"journal\":{\"name\":\"2018 International Conference on Software Security and Assurance (ICSSA)\",\"volume\":\"75 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Software Security and Assurance (ICSSA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSA45270.2018.00032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Software Security and Assurance (ICSSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSA45270.2018.00032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
How to Measure Similarity between Source Codes of Cryptocurrencies for Detecting Plagiarism (Lightning Talk)
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.