By finding a user who shows high self-similar behavior, we regard it as an unidentified bot; then, we update their behavior patterns for future use. As a result ...
We use a convolutional LSTM (ConvLSTM) model to overcome this problem, superimpose their behavioral histories over time, and record them as image sequences.
Request PDF | On Jul 1, 2022, Yongsik Kim and others published Bot-pelganger: Predict and Preserve Game Bots' Behavior | Find, read and cite all the ...
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Alternative Title: Bot-pelganger: Predict And Preserve Game Bots' Behavior ; Authors: Kim, Huy Kang ; Issue Date: 16-Aug-2022 ; Publisher: AsiaJCIS organization ...
Behavioral features are selected and developed to accurately detect game bots with the low resolution data, considering common aspects of MMORPG playing.
The behavioral characteristics of game bots are observed and it is found that they execute repetitive tasks associated with gold farming and real money ...
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Apr 30, 2024 · The paper proposes using ConvLSTM models to predict and preserve game bots' behavior, achieving a high accuracy of 98% in classifying game bot ...
https://dblp.org/rec/conf/asiajcis/KimK22. Yongsik Kim, Huy Kang Kim: Bot-pelganger: Predict and Preserve Game Bots' Behavior. AsiaJCIS 2022: 56-63. [i1]. view.
Feb 18, 2024 · The bot Mind Reader which is an online game played against the computer, which is trying to predict the user's next move.
Missing: pelganger: Preserve