Work

Research and Implementation of Access Control Strategy Based on Apriori and Collaborative Filtering Techniques

Year: 2025

Type: conference-paper

Abstract: This paper presents an automated method for generating access control policies by combining the Apriori algorithm and collaborative filtering technology. This approach solves the complex access control challenges arising from data sharing and large number of users in power grid regulation systems. First, the Aprior algorithm is used to mine strong association rules from the user authority relationship to reveal the potential relationship between resources. Then, the user rights relationship is enhanced, resource similarity is calculated, and collaborative filtering is used to generate recommended values for unauthorized resources. Finally, the access control policy is classified and authorized according to the recommended value, and the automatic generation of the policy is realized. The experimental results show that this method can not only generate access control policies automatically, but also assign new permissions effectively and ensure the privacy of resource data.

Source: International Conference on Generative Artificial Intelligence and Information Security (GAIIS)

DOI: 10.1145/3728725.3728805

Authors: Hongfu Chen, Minghui Jin, Feng Gao, Yujia Zhai

Institutions: State Grid Shanghai Municipal Electric Power Company (China), China Electric Power Research Institute

Language: English

Topic: Access Control and Trust

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Peace, justice, and strong institutions

Open Access status: hybrid

Funder: Science and Technology Project of State Grid