ChameleonRev: A Novel Approach to Efficient and Granular Control Credential Revocation on the Blockchain

Several approaches have been suggested for authenticating verifiable credentials, however, most fail to address the issue of revocation. Additionally, the suggested revocation technique lacks the effectiveness and efficiency required to offer a suitable solution for verifiable credentials. Our research presents ChameleonRev, a novel method of finer granular revoking blockchain-based selective disclosure verifiable credentials. ChameleonRev enhances credential management by introducing a revocation capability to verifiable credentials. In ChameleonRev, the validity status of each credential is stored as a field in the blockchain. To revoke a credential, the issuer utilizes the Chameleon Hash Function (CHF) hash collision generation feature. By modifying the validity status to the ‘revoked’ value while ensuring that the generated hash remains unchanged, the credential is effectively revoked. According to our evaluation of ChameleonRev, revocation is seamlessly integrated into traditional blockchain-based selective disclosure methods for credential verification, adding a negligible amount of computing overhead to both the issuing and verifying processes. Furthermore, through a comparative analysis of the revocation process in ChameleonRev against tree structure-based revocation methods such as Certificate Revocation Trees (CRT), we affirm the superiority of our approach.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/bcca62388.2024.10844411
Primary Topic
Blockchain Technology Applications and Security
Type
article
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article

ChameleonRev: A Novel Approach to Efficient and Granular Control Credential Revocation on the Blockchain

Kaiwen Zhang, Mohammad Reza Sabramooz
Blockchain Technology Applications and Security
article

ChameleonRev: A Novel Approach to Efficient and Granular Control Credential Revocation on the Blockchain

Kaiwen Zhang, Mohammad Reza Sabramooz
article en

Abstract

Several approaches have been suggested for authenticating verifiable credentials, however, most fail to address the issue of revocation. Additionally, the suggested revocation technique lacks the effectiveness and efficiency required to offer a suitable solution for verifiable credentials. Our research presents ChameleonRev, a novel method of finer granular revoking blockchain-based selective disclosure verifiable credentials. ChameleonRev enhances credential management by introducing a revocation capability to verifiable credentials. In ChameleonRev, the validity status of each credential is stored as a field in the blockchain. To revoke a credential, the issuer utilizes the Chameleon Hash Function (CHF) hash collision generation feature. By modifying the validity status to the ‘revoked’ value while ensuring that the generated hash remains unchanged, the credential is effectively revoked. According to our evaluation of ChameleonRev, revocation is seamlessly integrated into traditional blockchain-based selective disclosure methods for credential verification, adding a negligible amount of computing overhead to both the issuing and verifying processes. Furthermore, through a comparative analysis of the revocation process in ChameleonRev against tree structure-based revocation methods such as Certificate Revocation Trees (CRT), we affirm the superiority of our approach.

École de Technologie Supérieure (CA)
Openalex Percentile: Top 58%
Blockchain Technology Applications and Security
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ChameleonRev: A Novel Approach to Efficient and Granular Control Credential Revocation on the Blockchain — Kaiwen Zhang, Mohammad Reza Sabramooz · (2024) | TGRS Research Map | TGRS