Copy Detection Technique with Enhanced Efficiency by using Substring Comparison Algorithm

다국어 초록 (Multilingual Abstract)

As the information was being overloaded from time to time, a significant technique should be accomplished by several search engines that exists will use from the databases to eradicate the replicas of data which was available in articles and to present the outcomes of the search to users in terms of percentage of the amount of the data copied from the original file. Plagiarism is the process of bestowing one’s creative ideas as our individual conception. It is does not meant that anybody cannot use other’s considerations or workings, anybody can use their data by giving the actual credit the original users by stating their names in literature or in references and also by giving special note on acknowledgements. Copying the content of the others work is mainly considered to be a big crime in terms of research and in terms of the owning the idea of the others. The main idea of this work is to identify the extent of the data that was being copied or to identify the amount of data that was being copied from other peoples work or their own credited work. Performance of plagiarizing a document is not limited to word files or pdf files, it is possible to plagiarize even images and other files too. Hence, we were focused on finding the plagiarism in word files which includes academics and research articles.

목차 (Table of Contents)

• Abstract
• 1. Introduction
• 2. Proposed Work
• 2.1. Document Registration Module
• 2.2. Copy Detection Module
• 2.3. Collision Analysis Module
• 2.4. Substring Comparison Algorithm
• 3. Frame Work Design for Proposed Approach
• 4. Result Analysis
• 4.1. High-level Architecture Description
• 5. Database Design
• 5. Copy Detection
• 6. Experimental Comparison
• 7. Conclusion
• References