Blockchain: A Disruptive Technology

Blockchain: A Disruptive Technology

Arish Sidiqqui, Kazi Jubaer Tansen
Copyright: © 2022 |Pages: 11
DOI: 10.4018/978-1-7998-8382-1.ch004
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Abstract

Blockchain is distributed ledger technology. Its advancement has been compared to the rise of the internet with debate about the technology's probability to disrupt multiple industries including healthcare, transportation, real estate, public domains, manufacturing, intellectual property, education, and financial services. It is predicted that the blockchain will have a major impact on many trust-based environments due to its nature of recording any digital transaction that is secure, efficient, transparent, auditable, and resistant to the outage, thereby providing the much-needed security in the transfer of assets in cyberspace. This chapter will highlight some of the business processes that can be disrupted by blockchain technology.
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Technology

A Blockchain is a form of distributed ledger that records the transaction in ‘Blocks’. A set of transactions are stored in the Block which contains a link to the previous Block, consequently, a chain of sequentially ordered Blocks is formed (Mayes, Jayasinghe & Markantonakis, 2014). A distributed ledger is the core of Blockchain through which data can be inserted and amended using the nodes’ Consensus mechanism in the network. Every collaborating node in a Blockchain contains a copy of the entire records in a sequence of the interconnected system (Valduriez & Ozsu, 2011). In a Blockchain, the cryptographic hash function is used to link sequential Blocks together in such a way that, any modification of transaction data in a Block would alter the hash value of the following Block and consequently this alteration process goes on for the rest of the subsequent Blocks in the chain. This mechanism introduces easily noticeable discrepancies in the event of any slightest alteration to the Blockchain (Ferretti, D’Angelo & Marzolla, 2018). In order to provide a reasonable level of anonymity, Blockchain utilises digital pseudonyms which are hashed public keys. This pseudonym can be used to trace the actions of an individual. However, correlating a pseudonym to an exact individual is resource-intensive (Zhu et al., 2016).

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