With the increasing popularity of Massively Multiplayer Online Gaming (MMOG) platforms, the risk of cyber-attacks and security breaches has become a significant concern. This study proposes a logit-based cyber-risk assessment and mitigation model specifically designed for MMOG platforms. The model utilizes a combination of game data analysis and machine learning techniques to identify potential cyber threats and implement effective mitigation strategies. Through extensive data analysis and research methodology, this study demonstrates the effectiveness of the proposed model in enhancing the security of MMOG platforms. The findings of this research contribute to the growing field of cyber-risk assessment and provide valuable insights for platform developers and administrators.

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Keywords: Cyber-Risk Assessment, Logit Model, Massively Multiplayer Online Gaming (MMOG), Security, Data Analysis.