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DC Field | Value | Language |
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dc.contributor.author | Bhowmik M. | |
dc.contributor.author | Nara M. | |
dc.contributor.author | Mohan B.R. | |
dc.date.accessioned | 2021-05-05T10:16:17Z | - |
dc.date.available | 2021-05-05T10:16:17Z | - |
dc.date.issued | 2020 | |
dc.identifier.citation | Proceedings - 2020 IEEE 31st International Symposium on Software Reliability Engineering Workshops, ISSREW 2020 , Vol. , , p. 169 - 170 | en_US |
dc.identifier.uri | https://doi.org/10.1109/ISSREW51248.2020.00066 | |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/15046 | - |
dc.description.abstract | With 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.title | Similarity Calculation of Executable Using Intel Pin Instrumentation Framework | en_US |
dc.type | Conference Paper | en_US |
Appears in Collections: | 2. Conference Papers |
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