Full Program
Summary:
In today's digital era, identity and credentials have shifted to electronic formats, offering new opportunities for secure and efficient verification. However, recruitment processes still face inefficiencies, fraud risks, and privacy concerns. This work presents the Digital IdentitieS evaluaTion of job skIlLs (DISTIL) framework, which applies digital identity principles, particularly verifiable credentials, and leverages distributed ledger technology to address these issues. DISTIL employs zero-knowledge proofs to enable privacy-preserving validation of candidate data, with an emphasis on maintaining data confidentiality. We also evaluate the performance of the DISTIL framework by thoroughly examining its computational efficiency. This approach provides a secure, streamlined, and privacy-conscious solution for modern recruitment, supporting the broader adoption of self-sovereign digital identity in this field.Author(s):
Dimitrios Kasimatis
Edinburgh Napier University
United Kingdom
Pavlos Papadopoulos
Edinburgh Napier University
United Kingdom
William J. Buchanan
Edinburgh Napier University
United Kingdom
Christos Chrysoulas
Heriot-Watt University
United Kingdom
Sarwar Sayeed
Edinburgh Napier University
United Kingdom
Alexios Mylonas
University of Hertfordshire
United Kingdom
Nikolaos Pitropakis
The American College of Greece
Greece