Cheating and Detection Method in Massively Multiplayer Online Role-Playing Game: Systematic Literature Review

Han, Mee Lan; Kwak, Byung Il; Kim, Huy Kang

doi:10.1109/access.2022.3172110

Cited by 6 publications

(2 citation statements)

References 77 publications

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“…In comparison to traditional image processing methods, deep learning can automatically learn and extract features from images without relying on manually designed feature extractors [25][26][27]. Through the combination and training of multiple layers of neural networks, deep learning excels at extracting advanced features from complex images.…”

Section: Deep Learning Methodsmentioning

confidence: 99%

VADNet: Visual-Based Anti-Cheating Detection Network in FPS Games

Nie,

2024

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The prevalence of cheating in first-person shooter (FPS) games poses a formidable challenge, undermining user experience and the integrity of competitive play. In response to this issue, a visual-based anti-cheating detection network, termed VADNet, has been developed, harnessing the capabilities of deep learning and computer vision techniques. VADNet incorporates a focus module designed to segment high-resolution images, alongside a Feature Pyramid Network (FPN) for the fusion of multi-scale features, culminating in a classifier module tasked with the quantification of cheating behaviors. Rigorous experimentation on a dataset derived from a real online FPS game substantiates VADNet's efficacy in identifying players who resort to cheating, as evidenced by high precision, recall, and F1 scores. This investigation advances the field of anti-cheating mechanisms for FPS games, offering a robust and reliable system to preserve the fairness and integrity of online gaming environments.

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Section: Deep Learning Methodsmentioning

confidence: 99%

VADNet: Visual-Based Anti-Cheating Detection Network in FPS Games

Nie,

2024

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“…Accordingly, game companies are constantly investing resources and workforce to develop security programs that can detect and prevent cheating in advance, and take post-action measures such as 'bans' (Noah, 2022). In academia, studies on technical countermeasures and methods to detect and prevent online game cheating are conducted (Han et al, 2022;Qian et al, 2022), as well as research aiming to discover psychosocial factors influencing game cheating and potential countermeasures (Vorderer et al, 2004;Lee et al, 2021;Schöber and Stadtmann, 2022). However, research is still primarily focused on providing solutions from a technical perspective, and there is a lack of studies understanding game cheating users and establishing countermeasures from a socio-psychological perspective, regardless of the seriousness of game cheating and the importance of analyzing the psychological characteristics and motivations that lead users to dishonest gaming behaviors and establishing strategies to prevent them.…”

Section: Introductionmentioning

confidence: 99%

The influence of psychological needs and motivation on game cheating: insights from self-determination theory

Lee,

Jeong,

Kim

et al. 2023

Front. Psychol.

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IntroductionGame cheating (i.e., behavior of violating rules in games by using unregulated Software or assistive devices to gain advantage) poses a fatal problem as it destroys fair competition systems and negatively impacts the game ecosystem. Game cheating is reported to be common in competitive online games because they stimulate strongly a user’s motivation and psychological needs. However, there is still in lack of academic research which focused on the issue from the psycho-social perspective.MethodsThis study investigated the relationships between basic psychological needs (i.e., autonomy, competence, and relatedness) and motivation (i.e., intrinsic and extrinsic) based on self-determination theory, and examined their effects on the degree of game cheating with survey data of 322 gamers in a competitive online gaming community.ResultsThe results showed the opposite associations between the two forms of motivation (intrinsic and extrinsic) and game cheating. On one hand, extrinsic motivation decreased by autonomy enhanced the degree of game cheating. On the other hand, intrinsic motivation increased by both autonomy and relatedness finally abated game cheating. Competence did not influence any form of motivation. The results indicated that people motivated by interest or enjoyment (i.e., intrinsic motivation) of the game tend to view game cheating negatively while those motivated by game victory and rewards are likely to have positive attitudes toward game cheating. Increasing the degree of user autonomy and social relations in the game could decrease game cheating through the enhancement of intrinsic motivation.DiscussionDigital game cheating is a crucial problem threatening the spread of game culture and the growth of the eSports industry. The findings of this study reveal the influence of psychological needs and intrinsic motivation related to ‘game cheating,’ providing valuable guidelines in educational and policy aspects.

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