I know what the BOTs did yesterday: Full action sequence analysis using Naïve Bayesian algorithm

A game BOT is a major threat in the online game industry. There have been many efforts to distinguish game BOT users from normal users. Several studies have proposed BOT detection models based on the analysis of users' in-game action sequence data. These studies indicated that the analysis of users' in-game actions is effective to detect BOTs. However, they do not use sufficiently large data sets to train and test their algorithms. In this paper, we have proposed a BOT detection model that uses users' in-game action sequence data obtained with the aid of big data analysis environments. We did empirical analysis of the dataset of “Blade and Soul”, the third largest MMORPG in Korea. The result shows that a large amount of sequence data leads to high accuracy.