Software Plagiarism Detection
Abstract & Details
Research Area
Computer Engineering
Keywords
Plagiarism
Birth-marking
Jaccard
Cosine
Dice
Reflection
features
serialization
Abstract
With the development of internet and electronic devices, software plagiarism has become prevalent in software industries as well as educational institutes, violating one’s intellectual integrity. Certain techniques such as watermarking and semantics-preserving code obfuscations were introduced to tackle this issue. However, besides the need to insert additional data in the original program, code obfuscations can often destroy watermarks. Also, it was found that a sufficiently determined attacker may be able to destroy any watermark. In order to overcome these issues, birth-marking technique is proposed, which extracts a set of characteristics that uniquely identify the original program. Our work focuses on extracting birthmarks from source codes, implementing algorithms to measure the similarity between them and displaying the results on a dedicated user interface with respect to a pre-set threshold.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Aniruddha Wathare | AISSMS's Institute of Information Technology, Pune-1 |
| 2 | Rohit Patil | AISSMS's Institute of Information Technology, Pune-1 |
| 3 | Pooja Patil | AISSMS's Institute of Information Technology, Pune-1 |
| 4 | Kajal Thapa | AISSMS's Institute of Information Technology, Pune-1 |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Wathare, Aniruddha, Patil, Rohit, Patil, Pooja, & Thapa, Kajal (2016). Software Plagiarism Detection. International Journal of Advance Research and Innovative Ideas In Education, 2(3), 3204-3212.
MLA Style
Wathare, Aniruddha, et al. "Software Plagiarism Detection." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, 2016, pp. 3204-3212.
IEEE Style
Aniruddha Wathare, Rohit Patil, Pooja Patil, and Kajal Thapa, "Software Plagiarism Detection," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, pp. 3204-3212, 2016.
Vancouver Style
Wathare Aniruddha, Patil Rohit, Patil Pooja, Thapa Kajal. Software Plagiarism Detection. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(3):3204-3212.
Harvard Style
Wathare, Aniruddha, Patil, Rohit, Patil, Pooja, & Thapa, Kajal (2016) 'Software Plagiarism Detection', International Journal of Advance Research and Innovative Ideas In Education, 2(3), pp. 3204-3212.
Chicago Style
Wathare, Aniruddha, et al. "Software Plagiarism Detection." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 3204-3212.
Turabian Style
Wathare, Aniruddha, et al. "Software Plagiarism Detection." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 3204-3212.
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