Machine Learning Approaches to Enhance Access Control Systems

Abstract

This paper aims to analyse the recent strategies of applying machine learning (ML) in access control system for improving security, effectiveness and flexibility. It also explains how ML algorithms are used to identify threats, identify emerging threat risks and the ability to automate the management of access control. Besides the comments on the application of ML in access control systems, the paper also notes the advantages, prospects, and problems of more advanced approaches to security.