Building a credential management system on blockchain with verkle tree
Abstract
Nowadays, along with the continuous development of society, the application of
technology in education can be considered a top priority. And one of the important
issues in education is certification. Certificates are one of the neccessary documents
in job applications and legal documents. Because of the importance of this type of
document, the risk of fake degrees and certificates is very high. Therefore, to ensure
the integrity and validity of the certificate, a lot of management processes have been
applied, but most of them are paper-based works. That costs the owner a lot of time
in using and validating the certificate.
In order to reduce the time and cost for checking certificates and diplomas, many
research groups have proposed a blockchain-based certification model. Blockchain based academic credential systems have showed the potential to transcend the
constraints of paper-based certificates. These systems define procedures for issuing
and managing credentials using blockchain technology in order to improve security
and minimize administrative costs for both universities and companies.
Most of the current research is still based on the Merkle tree. Merkle trees, also
known as binary hash trees, are a type of data structure that is commonly used in
computer science. They are used to encrypt blockchain data more effectively and
securely in bitcoin and other cryptocurrencies. It is a data structure made up of
hashes of multiple data blocks that summarizes all data (e.g., transactions) stored in
a block. It also enables fast, reliable, and secure content verification on large
datasets, while verifying the consistency and data integrity. However, Merkle Tree
still has certain limits on speed and data processing and retrieval time. Which will be
mentioned and emphasized in this article.
The main purpose of this report is an introduction to Verkle Tree, a newly
published blockchain technology and the advantages it brings compared to the
Merkle Tree technology being applied today