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Binary executable file similarity calculation using function matching

机译:使用函数匹配计算二进制可执行文件相似度

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摘要

Nowadays, computer software is an essential part in our lives and is used in various fields. While software gives us convenience, it also causes many problems. Various research efforts are needed to defend against software plagiarism, attacks using malware/software, and so on. Analysis techniques of binary executable files can be applied to investigate and defend these problems. However, it is relatively hard to analyze binary executable files without source code information, because executable files only have the information for execution and discard semantic information during the compiling process. In this paper, we proposed a similarity calculation method for binary executable files, based on function matching techniques. Attributes of a function are extracted and these attributes are used to match functions of two binary files. Our function matching process is composed of three steps: the function name matching step, the N-tuple matching step, and the final n-gram-based matching step. After the function matching process is performed, the overall similarity is calculated based on similarities of matched functions. Experimental results show that similarity accuracy of our binary-based similarity calculation method is similar to those of a well-known source-code-based method, call MOSS.
机译:如今,计算机软件已成为我们生活中不可或缺的一部分,并已用于各个领域。尽管软件为我们提供了便利,但它也会引起许多问题。需要采取各种研究措施来防止软件抄袭,使用恶意软件/软件的攻击等。二进制可执行文件的分析技术可以用于调查和防御这些问题。但是,在没有源代码信息的情况下分析二进制可执行文件相对困难,因为可执行文件仅具有执行信息,并且在编译过程中会丢弃语义信息。本文提出了一种基于函数匹配技术的二进制可执行文件相似度计算方法。提取函数的属性,并将这些属性用于匹配两个二进制文件的函数。我们的函数匹配过程由三个步骤组成:函数名称匹配步骤,N元组匹配步骤以及最终的基于n元语法的匹配步骤。在执行功能匹配处理之后,基于匹配功能的相似度来计算总体相似度。实验结果表明,我们基于二进制的相似度计算方法的相似度准确性与众所周知的基于源代码的方法MOSS的相似度相似。

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