Please use this identifier to cite or link to this item: http://ir.lib.seu.ac.lk/handle/123456789/6257
Title: AntiPlag: plagiarism detection on electronic submissions of text-based assignments
Authors: Jiffriya, M. A. C.
Akmal Jahan, M. A. C.
Roshan, G. Ragel
Sampath, Deegalla
Keywords: Terms-Plagiarism Detection
AntiPlag
Electronic Assignments
Issue Date: Mar-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: 08th International Conference on Industrial and Information Systems (ICIIS) on 17-20 December 2013, University of Peradeniya, Peradeniya. pp. 1-5.
Abstract: Plagiarism is one of the growing issues in academia and is always a concern in Universities and other academic institutions. The situation is becoming even worse with the availability of ample resources on the web. This paper focuses on creating an effective and fast tool for plagiarism detection for text-based electronic assignments. Our plagiarism detection tool named AntiPlag is developed using the tri-gram sequence matching technique. Three sets of text-based assignments were tested by AntiPlag and the results were compared against an existing commercial plagiarism detection tool. AntiPlag showed better results in terms of false positives compared to the commercial tool due to the pre-processing steps performed in AntiPlag. In addition, to improve the detection latency, AntiPlag applies a data clustering technique making it four times faster than the commercial tool considered. AntiPlag could be used to isolate plagiarized text-based assignments from non-plagiarised assignments easily. Therefore, we present AntiPlag, a fast and effective tool for plagiarism detection on text based electronic assignments.
URI: https://www.researchgate.net/publication/260604317
http://ir.lib.seu.ac.lk/handle/123456789/6257
ISBN: 978-1-4799-0908-7
ISSN: 2164-7011
Appears in Collections:Research Articles

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