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               A critical review on using


               blockchain technology in

               education domain


               G. Sudha Sadasiuvam
               Department of CSE, PSG College of Technology, Coimbatore,
               Tamil Nadu, India




               1. Introduction
               Blockchain (BC) is a decentralized public ledger of data in which
               a record of transactions is maintained across several computers
               (nodes) that are linked in a peer-to-peer network. All valid trans-
               actions that have been executed are shared among users in the
               network. Even though BC technology was initiated with digital
               crypto currencies such as Bitcoin [1], it is viewed as an evolving
               technology with the potential to revolutionize the current digital
               operational scenario and business practices of finance, govern-
               ment services, and computing. The hypothesis behind BC is to
               create a digitally distributed consensus, which ensures decentral-
               ized, auditable, and secured storage of data. This enables
               enhancement of data security and transparency of activity. The
               basic tenets of BC include security via encryption, preservation
               of integrity through immutability, decentralization of control,
               verification in a distributed environment, and transparency [2].
                  Whenever a user wants to add data to a BC, the following
               actions are performed (Fig. 4.1):
               (i)  User node sends a transaction request to the network. It
                   contains sender/receiver addresses, data values, and digital
                   signature of the sender.
               (ii) A data block containing the transaction is created and sent to
                   all the nodes in the network.
               (iii) Blocks are verified/validated by special nodes called as
                   miners using game theoretic approaches.




               Handbook of Deep Learning in Biomedical Engineering. https://doi.org/10.1016/B978-0-12-823014-5.00005-3
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