Work

Attribute Based Access Control Method in Big Data Technologies

Year: 2024

Type: conference-paper

Abstract: With the rise of big data, how to ensure secure access to a large amount of data while considering the integrity of the system has become an extreme challenge. A modified attribute-based access control method for the big data environment—M-ABAC—is proposed in this paper. Under the guidance of five provisions of access control, this paper prefers data confidentiality and consistency of access control without sacrificing important properties of big data, such as volume and velocity. To prevent these kinds of risks, such as unauthorized access and attribute proliferation, M-ABAC uses attribute specification and dynamic adaptation. The proposed method will provide a robust mechanism for data access security in the big data processing environment.

Source: International Conference on Future Networks & Distributed Systems (ICFNDS)

DOI: 10.1145/3726122.3726188

Authors: Nozima Akhmedova, Dilshod Mirzaev

Institutions: Tashkent University of Information Technology, Tashkent State University of Economics

Language: English

Topic: Access Control and Trust

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W4411936836

FWCI: 1.338

Cites: 12

Cited by: 1

Related to: 10