A Preliminary Study on Genre Classification of Game Console Traffic for Parental Control
Year: 2026
Type: conference-paper
Abstract: In recent years, Gaming Disorder has been recognized by the World Health Organization (WHO), and excessive engagement in video games has become a serious health issue. Specific genres, such as shooting games and MMORPGs, are considered to have high addictive potential. However, existing parental control functions typically only offer uniform time limits and lack flexible control mechanisms. In this paper, we propose a method to estimate the game genre in real-time using statistical features obtained from packet capture, assuming implementation on home network devices such as routers. In our evaluation on a Nintendo Switch, the proposed method with LightGBM achieved high classification performance with an F1-score of 0.96 for seen titles.
Authors: Kotaro Yoshikawa, Yoshiaki Taniguchi
Institution: Kindai University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7204093598