A Novel Rules Based Approach for Estimating Software Birthmark
Joint Authors
Khan, Sher Afzal
Nazir, Shah
Anwar, Sajid
Shahzad, Sara
Binti Alias, Norma
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-06
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Nazir, Shah& Shahzad, Sara& Khan, Sher Afzal& Binti Alias, Norma& Anwar, Sajid. 2015. A Novel Rules Based Approach for Estimating Software Birthmark. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1078900
Modern Language Association (MLA)
Nazir, Shah…[et al.]. A Novel Rules Based Approach for Estimating Software Birthmark. The Scientific World Journal No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1078900
American Medical Association (AMA)
Nazir, Shah& Shahzad, Sara& Khan, Sher Afzal& Binti Alias, Norma& Anwar, Sajid. A Novel Rules Based Approach for Estimating Software Birthmark. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1078900
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1078900