VaLiDiFy – Certificate Validation using Blockchain and AI

The latest data demonstrates that 34% of resumes, 5% of academic certificates, and 23% of job applications in South Asian countries contain anomalies. The non-verification rate of academic certificates is found to be around 12.9% in certain developed countries. This emphasizes the issues pertaining to fraud with respect to certificate verification. The above figures demonstrate the need for a secure system that maintains the trust and transparency of credentials. To resolve this, we offer a robust solution that is based on Blockchain Technology for certificate validation by combining features of AI and advanced machine learning algorithms to enhance the verification process and thereby reduce credential fraud. The AI system detects anomalies or tampering attempts within each block; it also analyzes the pattern in block data, then verifies consistency and identifies suspicious changes, which may indicate manipulation of data. The user database is maintained through MongoDB. When compared to other approaches, the emphasis is on robustness through established cryptographic methods, which maintains its own secure database of hashes. Such an integration of technologies results in this cohesive system, ensuring efficient and secure digital certificate management as a scalable and adaptable solution. The focus on fundamental elements of blockchain makes it distinct when compared to more complex or isolated methods in other existing research works.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/ictbig64922.2024.10911469
Citations
3
Primary Topic
Technology Assessment and Management
Type
article
Field-Weighted Citation Impact
1.09
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article

VaLiDiFy – Certificate Validation using Blockchain and AI

S. Vivek, Bipin Kumar, Bilal Ahmed NK, Adarsh Priyadarshi et al.
3 citations
Technology Assessment and Management
1.09
article

VaLiDiFy – Certificate Validation using Blockchain and AI

S. Vivek, Bipin Kumar, Bilal Ahmed NK, Adarsh Priyadarshi, Abhinash Kumar Bej
article en
3 citations

Abstract

The latest data demonstrates that 34% of resumes, 5% of academic certificates, and 23% of job applications in South Asian countries contain anomalies. The non-verification rate of academic certificates is found to be around 12.9% in certain developed countries. This emphasizes the issues pertaining to fraud with respect to certificate verification. The above figures demonstrate the need for a secure system that maintains the trust and transparency of credentials. To resolve this, we offer a robust solution that is based on Blockchain Technology for certificate validation by combining features of AI and advanced machine learning algorithms to enhance the verification process and thereby reduce credential fraud. The AI system detects anomalies or tampering attempts within each block; it also analyzes the pattern in block data, then verifies consistency and identifies suspicious changes, which may indicate manipulation of data. The user database is maintained through MongoDB. When compared to other approaches, the emphasis is on robustness through established cryptographic methods, which maintains its own secure database of hashes. Such an integration of technologies results in this cohesive system, ensuring efficient and secure digital certificate management as a scalable and adaptable solution. The focus on fundamental elements of blockchain makes it distinct when compared to more complex or isolated methods in other existing research works.

Dayananda Sagar University (IN), Dr. Hari Singh Gour University (IN)
Openalex Percentile: Top 22%
Technology Assessment and Management
1.09
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VaLiDiFy – Certificate Validation using Blockchain and AI — S. Vivek, Bipin Kumar, et al. · (2024) | TGRS Research Map | TGRS