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Development of Novel Blockchain Technology for Certificate Management System using Cognitive Image Steganography Techniques.

Authors :
K. N., Sangeetha
Singh, Seema
B. A., Usha
Source :
Journal of Algebraic Statistics. 2022, Vol. 13 Issue 2, p3032-3041. 10p.
Publication Year :
2022

Abstract

The paper deals with the development of novel blockchain technology for certificate management system using cognitive image steganography techniques, in the sense, a secured approach of managing educational certificates using the blockchain and digital image steganography, providing an edge over existing systems is dealt with in greater detail. The provision for educational and governmental certificate authentication falls under the broad category of digital certificate issuance, authentication, and verification. Issuing certificates in this category can be difficult and time-consuming. Currently, existing systems for certificate management cannot guarantee data security and system trust. Using blockchain can solve this problem. This research is aimed to enhance the document verification process using blockchain technology and identify the security themes required for document verification in the blockchain. For the first time a survey of this type has been done where Blockchain and image steganography have been combined together to develop a complete backend infrastructure and the frontend application for the certificate management portal. With the proposed method PSNR & MSR of average 59 dB & 0.55 could be achieved. Exhaustive literature survey w.r. t. the recent development in the blockchain technology is also provided. The simulation results presented in the simulation results section shows the efficiency of the methodology that has been developed in the block chain field & thus has got an edge over the works done by other researchers in this field. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13093452
Volume :
13
Issue :
2
Database :
Academic Search Index
Journal :
Journal of Algebraic Statistics
Publication Type :
Academic Journal
Accession number :
162218414