TY - GEN
T1 - DISTIL: Digital Identities for the Evaluation of Job Skills
AU - Kasimatis, Dimitrios
AU - Papadopoulos, Pavlos
AU - Buchanan, William J.
AU - Chrysoulas, Christos
AU - Sayeed, Sarwar
AU - Mylonas, Alexios
AU - Pitropakis, Nikolaos
N1 - © 2025 IEEE.
PY - 2025/8/26
Y1 - 2025/8/26
N2 - 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 skIILs (DISTIL) framework, which applies digital identity principles, particularly verifiable credentials, and leverages distributed ledger technology to address these issues. DISTIL employs zeroknowledge 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 selfsovereign digital identity in this field.
AB - 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 skIILs (DISTIL) framework, which applies digital identity principles, particularly verifiable credentials, and leverages distributed ledger technology to address these issues. DISTIL employs zeroknowledge 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 selfsovereign digital identity in this field.
KW - digital identities
KW - digital qualifications
KW - Distributed ledger technologies
KW - recruiting
KW - verifiable credentials
KW - zero-knowledge proofs
UR - https://www.scopus.com/pages/publications/105016108664
U2 - 10.1109/CSR64739.2025.11130029
DO - 10.1109/CSR64739.2025.11130029
M3 - Conference contribution
AN - SCOPUS:105016108664
SN - 979-8-3315-3592-6
T3 - Proceedings of the 2025 IEEE International Conference on Cyber Security and Resilience, CSR 2025
SP - 1057
EP - 1062
BT - Proceedings of the 2025 IEEE International Conference on Cyber Security and Resilience, CSR 2025
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 5th IEEE International Conference on Cyber Security and Resilience, CSR 2025
Y2 - 4 August 2025 through 6 August 2025
ER -