Title: Fuzzy expert system for access control of children to the internet

Authors: Rasim M. Alguliyev; Fargana J. Abdullayeva; Sabira S. Ojagverdiyeva

Addresses: Institute of Information Technology, B.Vahabzade str., 9A, Baku, Azerbaijan ' Institute of Information Technology, B.Vahabzade str., 9A, Baku, Azerbaijan ' Institute of Information Technology, B.Vahabzade str., 9A, Baku, Azerbaijan

Abstract: As children's use of the internet increases, serious online safety issues arise. As a result, it is observed that the damage to their psychology and health is increasing. Along with harmful content from web pages, the negative impact of constant use of digital devices leaves deep marks on children's health and psychology. In order to overcome these problems and prevent harm, there is a need to implement programs that control access to the internet, filter harmful content on web pages, constantly monitor children's behaviour, make assessments and make accurate decisions. The article proposes a method of internet access control using a fuzzy logic inference system. This method is focused on the individual user and is done by imposing restrictions on their use of technologies (computers, phones, tablets, etc.). Screen time is determined for the use of technology, taking into account the age of the user, health and psychological diseases.

Keywords: fuzzy logic extraction system; FLES; online child safety; malicious information; Mamdani model; screen time; age; children's health; psychology of children; access control; child's individual characteristic.

DOI: 10.1504/IJRIS.2024.144062

International Journal of Reasoning-based Intelligent Systems, 2024 Vol.16 No.6, pp.455 - 462

Received: 19 Jan 2023
Accepted: 27 Apr 2023
Published online: 23 Jan 2025 *

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