Open Access

ARTICLE

BIG-ABAC: Leveraging Big Data for Adaptive, Scalable, and Context-Aware Access Control

Sondes Baccouri^1,2,#,*, Takoua Abdellatif ^3,#

1 SERCOM Lab, Tunisia Polytechnic School, Bizerte, 7000, Tunisia
2 Science and Technology for Defense Lab (STD), Military Research Center, Taeib Mhiri, Aouina, Tunis, 2045, Tunisia
3 SERCOM Lab, Tunisia Polytechnic School, Sousse, 4089, Tunisia

* Corresponding Author: Sondes Baccouri. Email: -carthage.tn
# These authors contributed equally to this work

(This article belongs to the Special Issue: Emerging Technologies in Information Security )

Computer Modeling in Engineering & Sciences 2025, 143(1), 1071-1093. https://doi.org/10.32604/cmes.2025.062902

Received 30 December 2024; Accepted 28 February 2025; Issue published 11 April 2025

Abstract

Managing sensitive data in dynamic and high-stakes environments, such as healthcare, requires access control frameworks that offer real-time adaptability, scalability, and regulatory compliance. BIG-ABAC introduces a transformative approach to Attribute-Based Access Control (ABAC) by integrating real-time policy evaluation and contextual adaptation. Unlike traditional ABAC systems that rely on static policies, BIG-ABAC dynamically updates policies in response to evolving rules and real-time contextual attributes, ensuring precise and efficient access control. Leveraging decision trees evaluated in real-time, BIG-ABAC overcomes the limitations of conventional access control models, enabling seamless adaptation to complex, high-demand scenarios. The framework adheres to the NIST ABAC standard while incorporating modern distributed streaming technologies to enhance scalability and traceability. Its flexible policy enforcement mechanisms facilitate the implementation of regulatory requirements such as HIPAA and GDPR, allowing organizations to align access control policies with compliance needs dynamically. Performance evaluations demonstrate that BIG-ABAC processes 95% of access requests within 50 ms and updates policies dynamically with a latency of 30 ms, significantly outperforming traditional ABAC models. These results establish BIG-ABAC as a benchmark for adaptive, scalable, and context-aware access control, making it an ideal solution for dynamic, high-risk domains such as healthcare, smart cities, and Industrial IoT (IIoT).

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Keywords

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