Decentralized identity verification: a blockchain-based framework for self-sovereign identity (SSI) with issuer trust registry
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BRAC University
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Abstract
In an era where data security and privacy breaches are alarming, blockchain technology
could greatly enhance different identification systems like passports, national
identity cards (NIDs), driving licenses, etc. We explore the idea of a blockchainpowered
identity verification system in this research where individuals’ identity information
is safely kept on a decentralized ledger. The principal goal of this research
is to find out the possible advantages and difficulties of incorporating blockchain systems
into personal identity verification systems. We thoroughly assess the built-in
cybersecurity attributes of blockchain, including decentralization, immutability, and
cryptographic security, which collectively establish it as a perfect choice for authenticating
and safeguarding personal identity data. Moreover, the research dives into
topics concerning data privacy, surveillance, and individual rights. The primary
emphasis of this research is on the smooth incorporation of a blockchain-driven
identity verification system centered on Self-Sovereign Identity (SSI). Furthermore,
this thesis highlights the critical role of issuers in the Self-Sovereign Identity System
(SSI) and addresses the inherent issue of Issuer Trust for verifiers. To address
the issue, this study introduces the concept of an Issuer Trust Registry to ensure
trustworthiness when issuing credentials. The research studies how blockchain can
streamline identity verification for authentication while creating driver’s licenses,
bank account openings, SIM card registrations, land registrations, etc., thereby mitigating
fraudulent activities in the cyber world and enhancing overall security. When
we increase the security, we can optimize the personality verification of authentication.
In conclusion, this research proposes a comprehensive study of the role of
blockchain technology in reimagining personal identification systems for the digital
age.
Description
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 52-55).
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
Includes bibliographical references (pages 52-55).
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
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Thesis