As the internet has taken a huge part of people’s life, the personal information an online account can hold has increased as well, resulting in many concerns related to cybersecurity and privacy. Children as a vulnerable group could participate in risky actions unconsciously causing privacy leakage, like sharing a game account. This paper discusses the possible security and privacy risks caused by game account sharing and proposes a countermeasure based on user authentication to detect the true owner of the game account using their mouse dynamics. Support Vector Machine and Random Forest have been used for classification of the true owner and the intruder using players’ mouse dynamics data captured from “Minecraft” game. This paper also investigates the effect of different feature sets in detecting the players using feature ranking algorithms.
|Title of host publication||ICPRAM 2023 - Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, Volume 1|
|Editors||Maria De Marsico, Gabriella Sanniti di Baja, Ana L.N. Fred|
|Number of pages||8|
|Publication status||Published - 22 Feb 2023|
|Name||International Conference on Pattern Recognition Applications and Methods|