PT  - JOURNAL ARTICLE
AU  - Všianský, Richard
AU  - Dlabolová, Dita
AU  - Foltýnek, Tomáš
TI  - Source Code Plagiarism Detection for PHP Language
DP  - 2017 Dec 31
TA  - European Journal of Business Science and Technology
PG  - 106--117
VI  - 3
IP  - 2
AID - 10.11118/ejobsat.v3i2.100
IS  - 23366494
AB  - This paper introduces a system for detection of plagiarism in source codes written in the PHP computer language, part of the plagiarism detection tool Anton. We used the greedy string tiling algorithm together with tokenization and hash calculation. The efficiency of the system was tested on both an artificial dataset and on real data coming from a course taught at our university. Our results are compared with other similar systems and solutions, concluding that Anton can detect all examined types of plagiarism with higher accuracy than other systems.