Please use this identifier to cite or link to this item: https://idr.l2.nitk.ac.in/jspui/handle/123456789/15046
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dc.contributor.authorBhowmik M.
dc.contributor.authorNara M.
dc.contributor.authorMohan B.R.
dc.date.accessioned2021-05-05T10:16:17Z-
dc.date.available2021-05-05T10:16:17Z-
dc.date.issued2020
dc.identifier.citationProceedings - 2020 IEEE 31st International Symposium on Software Reliability Engineering Workshops, ISSREW 2020 , Vol. , , p. 169 - 170en_US
dc.identifier.urihttps://doi.org/10.1109/ISSREW51248.2020.00066
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/15046-
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.en_US
dc.titleSimilarity Calculation of Executable Using Intel Pin Instrumentation Frameworken_US
dc.typeConference Paperen_US
Appears in Collections:2. Conference Papers

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