代码混淆工具,用于评估代码抄袭检测工具的性能

Sangjun Ko, Jusop Choi, Hyoungshick Kim
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引用次数: 8

摘要

目前已有许多抄袭检测工具通过分析源代码的相似度来发现抄袭代码。为了衡量这些抄袭检测工具的可靠性,我们开发了一个名为代码混淆工具(Code ObfuscAtion tool, COAT)的工具,它将程序源代码作为输入,并生成与输入源代码在功能行为上完全等同的另一个源代码,但结构不同。在COAT中,我们特别考虑了八种代表性的混淆技术(例如,修改控制流或插入虚拟代码)来测试源代码抄袭检测工具的性能。为了展示COAT的实用性,我们收集了69个源代码,然后使用四种常用的源代码抄袭检测工具(Moss、JPlag、SIM和Sherlock)对这些源代码进行了测试。在这些实验中,我们发现原始源代码与其混淆后的剽窃代码之间的相似度得分非常低;平均相似度得分仅在4.00到16.20之间,其中最大可能得分为100。这些结果表明,所有被测试的工具在检测由组合代码混淆技术生成的剽窃代码时都有明显的局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
COAT: Code Obfuscation Tool to Evaluate the Performance of Code Plagiarism Detection Tools
There exist many plagiarism detection tools to uncover plagiarized codes by analyzing the similarity of source codes. To measure how reliable those plagiarism detection tools are, we developed a tool named Code ObfuscAtion Tool (COAT) that takes a program source code as input and produces another source code that is exactly equivalent to the input source code in their functional behaviors but with a different structure. In COAT, we particularly considered the eight representative obfuscation techniques (e.g., modifying control flow or inserting dummy codes) to test the performance of source code plagiarism detection tools. To show the practicality of COAT, we gathered 69 source codes and then tested those source codes with the four popularly used source code plagiarism detection tools (Moss, JPlag, SIM and Sherlock). In these experiments, we found that the similarity scores between the original source codes and their obfuscated plagiarized codes are very low; the mean similarity scores only ranged from 4.00 to 16.20 where the maximum possible score is 100. These results demonstrate that all the tested tools have clear limitations in detecting the plagiarized codes generated with combined code obfuscation techniques.
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