Modeling Plagiarism Prevention in Scientific Publication Using Enhanced Blockchain

The improvement in technology causes plagiarism to occur and causes losses for the original creator. Plagiarism easily occurs in many areas including research papers. From this problem., we proposed a model to not only detect but also prevent plagiarism by merging Blockchain technology., the Elliptic Curve Digital Signature Algorithm (ECDSA)., and the Rabin-Karp algorithm. The proposed model was improved model by another researcher. Our model is separated into two parts., the front end will be used to detect similarity percentage and prevent plagiarism also the back end will be used to prevent plagiarism. The simulation result shows that the Rabin-Karp algorithm is robust enough to detect similarity percentages. The ECDSA algorithm ensures that the authorized can open the submission paper. Lastly., Blockchain technology prevents any change in the data that is stored inside the network. This research successfully introduced a more secure model in the research paper submissions.