AI Article Synopsis

  • Software birthmarks help identify software theft by comparing unique qualities of programs to determine if they've been copied.
  • Software piracy is a growing issue, and accurately estimating these birthmarks can help combat it.
  • A new fuzzy logic-based technique evaluates the credibility and resilience of software birthmarks, showing effective results in a case study on assessing software originality.

Article Abstract

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4402484PMC
http://dx.doi.org/10.1155/2015/579390DOI Listing

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