0% Complete
Home
/
15th International Conference on Computer and Knowledge Engineering
Token-Based Access Control for Inter-organization Collaboration in Hyperldger Fabric
Authors :
Parsa Hedayatnia
1
Mohammad Ata Jalilian
2
Mohammad Allahbakhsh
3
Haleh Amintoosi
4
1- Ferdowsi University of Mashhad
2- Ferdowsi University of Mashhad
3- Ferdowsi University of Mashhad
4- Ferdowsi University of Mashhad
Keywords :
Access Control،Token،Blockchain،Hyperledger Fabric،Tokenization،TBAC،Permissioned Blockchain،Inter-organization،OBAC
Abstract :
Traditional access control models, such as Attribute-Based Access Control (ABAC), Role-Based Access Control (RBAC), and Token-Based Access Control (TBAC), suffer from scalability, auditability, and delegation shortcomings when used in multi-organizational settings. To mitigate these limitations, we present a hybrid model that integrates TBAC with Organization-Based Access Control (OBAC) through a dual-token mechanism. Implemented on the Hyperledger Fabric platform, our model enables decentralized and auditable access control through on chain policy enforcement. We utilize smart contracts to facilitate fine-grained delegation, revocation, and role changes across organizational boundaries. Our experimental findings reveal an appreciable reduction in latency and higher throughput than ABAC-based models, thereby confirming the viability of our model for inter-organizational workflows. Empirical results demonstrate that our proposed access control model achieves an average latency reduction of up to 85.47% and a throughput improvement of approximately 59.78% when evaluated against baseline ABAC systems under identical experimental conditions.
Papers List
List of archived papers
PersianILP: Construction and Evaluation of a Standard Persian Dataset for Inductive Link Prediction
Mohammad Rahimi - Afsaneh Fatemi - Ahmad Baraani
Real-Time Forecasting Using Mixed Frequency Time-Series Data
Armin Khayati - Mohammad Taheri - Koorush Ziarati
Delay Optimization of a Federated Learning-based UAV-aided IoT network
Hossein Mohammadi Firouzjaei - Javad Zeraatkar Moghaddam - Mehrdad Ardebilipour
A Federated Learning-Based Hybrid Deep Learning Framework for Enhanced Human Activity Recognition
Jamileh Azmoudeh - Sajjad Arghaee - Parisa Valizadeh - Samaneh Dandani - Iman Havangi - Mohammad Hossein Yaghmaee
Predicting cascading failure with machine learning methods in the interdependent networks
Mohamad Hossein Maghsoodi - Mohamad Khansari
Non-Negative Matrix Factorization improves Residual Neural Networks
Hojjat Moayed
Forecasting El Niño Six Months in Advance Utilizing Augmented Convolutional Neural Network
Mohammad Naisipour - Iraj Saeedpanah - Arash Adib - Mohammad Hossein Neisi Pour
Using Deep Learning for Classification of Lung Cancer on CT Images in Ardabil Province
Mohammad Ali Javadzadeh Barzaki - Jafar Abdollahi - Mohammad Negaresh - Maryam Salimi - Hadi Zolfeghari - Mohsen Mohammadi - Asma Salmani - Rona Jannati - Firouz Amani
Explainable Error Detection Method for Structured Data using HoloDetect framework
Abolfazl Mohajeri Khorasani - Sahar Ghassabi - Behshid Behkamal - Mostafa Milani
Adaptive Pattern Reconstruction Using Linear Regression for Improved TPS Anomaly Detection
Ali Azarsina - Alireza Safarzadeh - MohammadReza Jamali - Abdolhossein Vahabie
more
Samin Hamayesh - Version 44.5.0