Efficient Deep Learning Bot Detection in Games Using Time Windows and Long Short-Term Memory (LSTM)-Reference-Cited by-同舟云学术

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Efficient Deep Learning Bot Detection in Games Using Time Windows and Long Short-Term Memory (LSTM)

Published:2020 Issue: Volume:8 Page:195763-195771
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Tsikerdekis Michail^ORCID,Barret Sean,Hansen Raleigh,Klein Matthew,Orritt Josh,Whitmore Jason

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09239256.pdf?arnumber=9239256

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detecting Suspicious Player Behavior in Web3 games: A Data-Driven Analysis of Bot Accounts;Proceedings of the 2024 International Conference on Information Technology for Social Good;2024-09-04

2. BEAT: Behavior Evaluation and Anomaly Tracking, Game Bot Detection Framework in RPG Games;2023 6th International Conference on Algorithms, Computing and Artificial Intelligence;2023-12-22

3. Bot-pelganger: Predict and Preserve Game Bots' Behavior;2022 17th Asia Joint Conference on Information Security (AsiaJCIS);2022-07

4. FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection;Proceedings of the ACM Web Conference 2022;2022-04-25

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