Similarity Calculation of Executable Using Intel Pin Instrumentation Framework

dc.contributor.authorBhowmik, M.
dc.contributor.authorNara, M.
dc.contributor.authorMohan, B.R.
dc.date.accessioned2026-02-06T06:36:39Z
dc.date.issued2020
dc.description.abstractWith the increase in the number of open-source and commercial code in the market, copyright and license infringement cases are on the rise. The lack of availability of source code makes identification a difficult task as existing techniques heavily rely on the source code. We propose two similarity measurement methods using the instruction log and the call-trace of each executable using Intel Pin tool. A Software Plagiarism Detector(SPD) was developed using the Intel Pin instrumentation tool and we have tested this approach on different small executable single-threaded and multi-threaded files. The results portray the validity of this method. We also talk about the possibility to expand this method for bigger software. © 2020 IEEE.
dc.identifier.citationProceedings - 2020 IEEE 31st International Symposium on Software Reliability Engineering Workshops, ISSREW 2020, 2020, Vol., , p. 169-170
dc.identifier.urihttps://doi.org/10.1109/ISSREW51248.2020.00066
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/30592
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectexecutable
dc.subjectinstrumentation
dc.subjectsoftware piracy
dc.subjectsoftware plagiarism
dc.subjectsoftware similarity
dc.titleSimilarity Calculation of Executable Using Intel Pin Instrumentation Framework

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