TrustPass Blockchain based Trusted Digital Identity Platform towards Digital Transformation

Kalpa Dissanayake; Pavan Somarathne; Ushan Fernando

TrustPass Blockchain based Trusted Digital Identity Platform towards Digital Transformation

Kalpa Dissanayake * §

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Pavan Somarathne

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Ushan Fernando

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§ Sri Lanka Institute of Information Technology

TrustPass Blockchain based Trusted Digital Identity Platform towards Digital Transformation

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Abstract

According to the United States Census Bureau, by June 2019 world population on earth was 7.5 billion, which exceeds the world population of 7.2 billion as of 2015. Each of these citizens needs to prove their identity in order to fulfill their day-to-day routine. In this current digital revolution whole world is transforming to digitalization. Therefore, proving someone’s identity in the digital space is a must, because being able to track a person digitally can result in elimination of the identity theft and most incidents related to online harassments, while focusing on data privacy and security of citizens, we have proposed ”Trust Pass”: Cyber Security Intelligence based trusted digital identity platform capable of registering and verifying service providers based on document validation neural network model (95.4% accuracy) and allowing citizens to authenticate themselves to service providers with three factor biometrics authentication with liveness detection neural network model (99.8% accuracy).

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Kalpa Dissanayake, Pavan Somarathne, Ushan Fernando. 2026. "TrustPass Blockchain based Trusted Digital Identity Platform towards Digital Transformation". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 22 (GJCST Volume 22 Issue E1).

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GJCST Volume 22 Issue E1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-E Classification I.3.5

Submission ReceivedOctober 6, 2021
Peer Review Double Blind
Handling Editor
Accepted November 5, 2021
Published November 16, 2021

Version of record

v1.2

Issue date

March 12, 2022

Language

English

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