Similarity Calculation of Executable Using Intel Pin Instrumentation Framework
| dc.contributor.author | Bhowmik, M. | |
| dc.contributor.author | Nara, M. | |
| dc.contributor.author | Mohan, B.R. | |
| dc.date.accessioned | 2026-02-06T06:36:39Z | |
| dc.date.issued | 2020 | |
| 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. | |
| dc.identifier.citation | Proceedings - 2020 IEEE 31st International Symposium on Software Reliability Engineering Workshops, ISSREW 2020, 2020, Vol., , p. 169-170 | |
| dc.identifier.uri | https://doi.org/10.1109/ISSREW51248.2020.00066 | |
| dc.identifier.uri | https://idr.nitk.ac.in/handle/123456789/30592 | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.subject | executable | |
| dc.subject | instrumentation | |
| dc.subject | software piracy | |
| dc.subject | software plagiarism | |
| dc.subject | software similarity | |
| dc.title | Similarity Calculation of Executable Using Intel Pin Instrumentation Framework |
