A Novel Rules Based Approach for Estimating Software Birthmark
Software birthmark is a unique quality of software to detect software theft. Comparing birthmarks of software can tell us whether a program or software is a copy of another. Software theft and piracy are rapidly increasing problems of copying, stealing, and misusing the software without proper permi...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2015/579390 |
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| _version_ | 1832558799226929152 |
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| author | Shah Nazir Sara Shahzad Sher Afzal Khan Norma Binti Alias Sajid Anwar |
| author_facet | Shah Nazir Sara Shahzad Sher Afzal Khan Norma Binti Alias Sajid Anwar |
| author_sort | Shah Nazir |
| collection | DOAJ |
| description | Software birthmark is a unique quality of software to detect software theft. Comparing birthmarks of software can tell us whether a program or software is a copy of another. Software theft and piracy are rapidly increasing problems of copying, stealing, and misusing the software without proper permission, as mentioned in the desired license agreement. The estimation of birthmark can play a key role in understanding the effectiveness of a birthmark. In this paper, a new technique is presented to evaluate and estimate software birthmark based on the two most sought-after properties of birthmarks, that is, credibility and resilience. For this purpose, the concept of soft computing such as probabilistic and fuzzy computing has been taken into account and fuzzy logic is used to estimate properties of birthmark. The proposed fuzzy rule based technique is validated through a case study and the results show that the technique is successful in assessing the specified properties of the birthmark, its resilience and credibility. This, in turn, shows how much effort will be required to detect the originality of the software based on its birthmark. |
| format | Article |
| id | doaj-art-5f2f9870ff994aeba8d1f19a90783707 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-5f2f9870ff994aeba8d1f19a907837072025-02-03T01:31:30ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/579390579390A Novel Rules Based Approach for Estimating Software BirthmarkShah Nazir0Sara Shahzad1Sher Afzal Khan2Norma Binti Alias3Sajid Anwar4Department of Computer Science, University of Peshawar, Peshawar 25000, PakistanDepartment of Computer Science, University of Peshawar, Peshawar 25000, PakistanDepartment of Computer Science, Abdul Wali Khan University, Mardan 23200, PakistanIbnu Sina Institute for Fundamental Science Studies, Universiti Teknologi Malaysia, 81310 Johor Bahru, MalaysiaInstitute of Management Sciences, Peshawar 25000, PakistanSoftware birthmark is a unique quality of software to detect software theft. Comparing birthmarks of software can tell us whether a program or software is a copy of another. Software theft and piracy are rapidly increasing problems of copying, stealing, and misusing the software without proper permission, as mentioned in the desired license agreement. The estimation of birthmark can play a key role in understanding the effectiveness of a birthmark. In this paper, a new technique is presented to evaluate and estimate software birthmark based on the two most sought-after properties of birthmarks, that is, credibility and resilience. For this purpose, the concept of soft computing such as probabilistic and fuzzy computing has been taken into account and fuzzy logic is used to estimate properties of birthmark. The proposed fuzzy rule based technique is validated through a case study and the results show that the technique is successful in assessing the specified properties of the birthmark, its resilience and credibility. This, in turn, shows how much effort will be required to detect the originality of the software based on its birthmark.http://dx.doi.org/10.1155/2015/579390 |
| spellingShingle | Shah Nazir Sara Shahzad Sher Afzal Khan Norma Binti Alias Sajid Anwar A Novel Rules Based Approach for Estimating Software Birthmark The Scientific World Journal |
| title | A Novel Rules Based Approach for Estimating Software Birthmark |
| title_full | A Novel Rules Based Approach for Estimating Software Birthmark |
| title_fullStr | A Novel Rules Based Approach for Estimating Software Birthmark |
| title_full_unstemmed | A Novel Rules Based Approach for Estimating Software Birthmark |
| title_short | A Novel Rules Based Approach for Estimating Software Birthmark |
| title_sort | novel rules based approach for estimating software birthmark |
| url | http://dx.doi.org/10.1155/2015/579390 |
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