Developing a system for detecting the same content within the UBT academic institution, including special characters

Abstract

One of the most acute problems in the academic world is plagiarism (prevention and detection). Based on this fact, numerous software systems have been developed in line with the growing demand from educational institutions. In principle, systems use string sort algorithms (matching algorithms) to detect possible cases of plagiarism. Each of them, although the original solution is prone to being sensitive in terms of security. These software platforms have some problems mainly in terms of the incompatibility of the character with the control system. This allows two identical documents (plagiarism and original) even though the same content is not detected by the system since they are written in a different alphabet (for the same characters). Plagiarism detection system addresses this problem by "translating" all data into a format where all characters are readable, exposing any document that is plagiarized (data). This is achieved by giving each character a unique value, regardless of the alphabet in which it is written in the document. This is accomplished through the implementation of different algorithms for sorting. This enables the system to face eventual errors where the client "cheats" the system and forces the system to compare documents in the database, written in an unsupported alphabet.