Abstract Machine learning (ML) technologies have achieved significant success in various
downstream tasks, eg, node classification, link prediction, community detection, graph …

This paper presents a comprehensive review of deep learning applications in the video
game industry, focusing on how these techniques can be utilized in game development …

Online games make up the largest segment of the booming global game market in terms of
revenue as well as players. Unlike games that sell games at one time for profit, online …

Massive multiplayer online role-playing games (MMORPG) have been becoming one of the
most popular and exciting online games. In recent years, a cheating phenomenon called …

Cybersecurity in Industrial Internet of Things (IIoT) has become critical as smart cities are
becoming increasingly linked to industrial control systems (ICSs) used in critical …

Confronted with the challenge of malicious bot abuse disrupting daily life, bot detection has
become a crucial field of research. Among the various methods proposed, a behavior-driven …

This paper studies the task of detecting bots for online mobile games. Considering the fact of
lacking labeled cheating samples and restricted available data in the real detection systems …

Game bots are programmed to automatically play games and illegally obtain profit, seriously
affecting game experience of honest players and breaking the balance of game ecosystem …

In recent years, personality has been considered as a valuable personal factor being
incorporated into the provision of personalized learning. Although some studies have …

With the emerging of smartphones, mobile games have attracted billions of players and
occupied most of the share for game companies. On the other hand, mobile game cheating …