Hamming distance approach to reduce role mining scalability

Abd Hamid, Nazirah and Selamat, Siti Rahayu and Ahmad, Rabiah and Mohamad, Mumtazimah (2023) Hamming distance approach to reduce role mining scalability. International Journal of Advanced Computer Science and Applications, 14 (6). pp. 505-510. ISSN 2158-107X

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Abstract

Role-based Access Control has become the standard of practice for many organizations for restricting control on limited resources in complicated infrastructures or systems. The main objective of the role mining development is to define appropriate roles that can be applied to the specified security access policies. However, the mining scales in this kind of setting are extensive and can cause a huge load on the management of the systems. To resolve the above mentioned problems, this paper proposes a model that implements Hamming Distance approach by rearranging the existing matrix as the input data to overcome the scalability problem. The findings of the model show that the generated file size of all datasets substantially have been reduced compared to the original datasets It has also shown that Hamming Distance technique can successfully reduce the mining scale of datasets ranging between 30% and 47% and produce better candidate roles.

Item Type:	Article
Uncontrolled Keywords:	Role-based Access Control, Role mining, Hamming distance, Data mining
Divisions:	Faculty of Information and Communication Technology
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	06 Aug 2025 04:44
Last Modified:	06 Aug 2025 04:44
URI:	http://eprints.utem.edu.my/id/eprint/28848
Statistic Details:	View Download Statistic

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