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Analysis on digital signature based on digital certificate

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dc.contributor.author MUNYESHYAKA, Jean René
dc.date.accessioned 2026-04-15T11:31:28Z
dc.date.available 2026-04-15T11:31:28Z
dc.date.issued 2024-08-16
dc.identifier.uri https://dr.ur.ac.rw/handle/123456789/2821
dc.description Master's Dissertation en_US
dc.description.abstract Motivated by the importance of Software Development and Ethics to fight against forgery and tampering in our society, this research study the use of Digital Signature based on Digital Certificate to provide digitally signed documents among users. This thesis pays special attention to the current problem by evaluating the change in performance once Digital Signature based on Digital Certificate is used to strengthen the existing signing schemes for long-term improvement and security. Specifically, the thesis explores application of Digital Signature based on Digital Certificate: predicting signing system performance. Basically, the Reed Solomon method is an algorithm that was used to implement the QR code, incorporating associated digital signature and important user information. The Reed Solomon Correction Method allows QR codes to be scanned even if a certain amount of the QR code is covered up or blocked. This algorithm permits above necessary verifications; and eventually Digital Signature based on Digital Certificate, is a framework that permits users to make wrongfully binding electronic documents that are reliable and predictable. The thesis identifies potential challenges, current limitations, and suggestions for further improvement. Rigorous analysis using JMeter will lay solid foundation for further study within the domain. This research provides a way of verifying the reliability and validity of digitally signed documents to build trust among users. The results analysis tested, verified and validated the work as sufficient evidence that the assignable, verifiable, portable, linkable, and verifiable digital signature schemes are reliable, predictable, and of minimal repudiation. The results predicted are in the range between 65 and 98 out of 100, with an accuracy of 97%. From the results also we detected the need of increasing the dataset size, especially increasing quantitative dependent variables for prediction. Throughout this research we also noticed that Digital signature based on Digital Certificate cannot be accomplish without scanning system for verification method as a consequence to build trust among users. en_US
dc.language.iso en en_US
dc.subject Digital signature en_US
dc.subject Digital Certificate en_US
dc.subject Reed Solomon en_US
dc.title Analysis on digital signature based on digital certificate en_US
dc.type Dissertation en_US


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