May 7, 2024, 4:11 a.m. | Alexander Interrante-Grant, Michael Wang, Lisa Baer, Ryan Whelan, Tim Leek

cs.CR updates on arXiv.org arxiv.org

arXiv:2405.03478v1 Announce Type: new
Abstract: Program similarity has become an increasingly popular area of research with various security applications such as plagiarism detection, author identification, and malware analysis. However, program similarity research faces a few unique dataset quality problems in evaluating the effectiveness of novel approaches. First, few high-quality datasets for binary program similarity exist and are widely used in this domain. Second, there are potentially many different, disparate definitions of what makes one program similar to another and in …

analysis applications area arxiv author binary cs.cr dataset datasets detection high identification malware malware analysis novel plagiarism popular problems program quality research security similarity synthetic

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