Towards Supporting Attribute-Based Access Control in Hyperledger Fabric Blockchain.

ABAC Access control Blockchain Chaincode Hyperledger Fabric Smart contract

Journal

IFIP advances in information and communication technology
ISSN: 1868-4238
Titre abrégé: IFIP Adv Inf Commun Technol
Pays: Germany
ID NLM: 101640727

Informations de publication

Date de publication:
Jun 2022
Historique:
entrez: 22 12 2022
pubmed: 23 12 2022
medline: 23 12 2022
Statut: ppublish

Résumé

Hyperledger Fabric (HLF) is an open-source platform for deploying enterprise-level permissioned blockchains where users from multiple organizations can participate. Preventing unauthorized access to resources in such blockchains is of critical importance. Towards addressing this requirement, HLF supports different access control models. However, support for Attribute-Based Access Control (ABAC) in the current version of HLF is not comprehensive enough to address various requirements that arise when multiple organizations interact in an enterprise setting. To address those shortcomings, in this paper, we develop and present methods for providing full ABAC functionality in Hyperledger Fabric. Performance evaluation under different network configurations using the Hyperledger Caliper benchmarking tool shows that the proposed approach is quite efficient in practice.

Identifiants

pubmed: 36544863
doi: 10.1007/978-3-031-06975-8_21
pmc: PMC9762829
mid: NIHMS1854529
doi:

Types de publication

Journal Article

Langues

eng

Pagination

360-376

Subventions

Organisme : NIGMS NIH HHS
ID : R35 GM134927
Pays : United States

Références

Sensors (Basel). 2020 Nov 18;20(22):
pubmed: 33218022
Proc Int Conf Distrib Comput Syst. 2020 Nov-Dec;2020:12-22
pubmed: 33972821
Entropy (Basel). 2021 Aug 16;23(8):
pubmed: 34441194

Auteurs

Amshumaan Pericherla (A)

Indian Institute of Technology Kharagpur, Kharagpur, India.

Proteet Paul (P)

Indian Institute of Technology Kharagpur, Kharagpur, India.

Shamik Sural (S)

Indian Institute of Technology Kharagpur, Kharagpur, India.

Jaideep Vaidya (J)

Rutgers University, Newark, USA.

Vijay Atluri (V)

Rutgers University, Newark, USA.

Classifications MeSH