Effectiveness of bot detection method for MMORPG behavior Using Shapley additive explanations

• Dong-young Yoo,
• Yong-Joon Lee,
• Hyun-Ho Park,
• Young-woo Hong,

Vol. 19, No. 2, February 28, 2025
10.3837/tiis.2025.02.010, Download Paper (Free):

• Shapley additive explanations
• Explainable Artificial Intelligence
• Abnormal Detection
• Machine Learning
• Data Mining

Abstract

According to Mordor Intelligence, the MMORPG Gaming Market size is estimated at USD 25.34 billion in 2024, and is expected to reach USD 42.22 billion by 2029, growing at a CAGR of 10.75% during the forecast period (2024-2029). In online games, there are various threats such as hacking, malicious code, and botnets. Among such various threats, obstruction of game services using game bots is causing many problems. As research on bot detection in online games such as MMORPGs using statistical and AI models has increased, companies have begun applying these models to detect bots in MMORPG environments. However, there are cases where these bot detection attempts have proven ineffective, and due to the low interpretability of AI models, such issues are often overlooked during the development process. Therefore, this paper explores the use of 'Shapley Additive Explanations' as a verification method when AI-based bot detection is not effective.

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