• Journal of the Korea Society of Computer and Information
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• v.27 no.5
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• pp.157-163
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• 2022

As the online game market grows, the use of game bots is causing the most serious problem for game services. We propose a harvest coordinate analysis model to detect harvesting bots among game bots of the Massively Multiplayer Online Role-Playing Games(MMORPGs) genre. The proposed model analyzes the player's harvesting behavior using the coordinate data. Game bots can obtain in-game goods and items more easily than normal players and are not affected by realistic restrictions such as sleep time and character manipulation fatigue. As a result, there is a difference in harvesting coordinates between normal players and game bots. We divided the coordinate zones and used these coordinate zone differences to distinguish between game bot players and normal players. We created a dataset with NCSoft's AION log and applied it to a random forest model to detect game bots, and as a result, we derived performance with a recall of 0.72 and a precision of 0.92.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.6
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• pp.1431-1439
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• 2017

In the security field, log analysis is important to detect malware or abnormal behavior. Recently, image visualization techniques for malware dectection becomes to a major part of security. These techniques can also be used in online games. Users can leave a game when they felt bad experience from game bot, automatic hunting programs, malicious code, etc. This churning can damage online game's profit and longevity of service if game operators cannot detect this kind of events in time. In this paper, we propose a new technique of PNG image conversion based churn prediction to improve the efficiency of data analysis for the first. By using this log compression technique, we can reduce the size of log files by 52,849 times smaller and increase the analysis speed without features analysis. Second, we apply data mining technique to predict user's churn with a real dataset from Blade & Soul developed by NCSoft. As a result, we can identify potential churners with a high accuracy of 97%.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.5
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• pp.1153-1160
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• 2018

As the number of online game users increases and the market size grows, various kinds of cheating are occurring. Game bots are a typical illegal program that ensures playtime and facilitates account leveling and acquisition of various goods. In this study, we propose a method to detect game bots based on user action time interval (ATI). This technique observes the behavior of the bot in the game and selects the most frequent actions. We distinguish between normal users and game bots by applying Machine Learning to feature frequency, ATI average, and ATI standard deviation for each selected action. In order to verify the effectiveness of the proposed technique, we measured the performance using the actual log of the 'Aion' game and showed an accuracy of 97%. This method can be applied to various games because it can utilize all actions of users as well as character movements and social actions.

• Journal of National Security and Military Science
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• s.7
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• pp.233-270
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• 2009

Serious game played with a computer in accordance with specific rules, that uses entertainment to further government or corporate training, education, health, public policy, and strategic communication objectives. The main goal of a serious game is usually to train or educate users while giving them an enjoyable experience. Serous games are video games with serious purposes such as teaching or training and whose principal aim is education. The major characteristics of serious games involve pedagogy which are all of the activities that educate, train, or instruct the player. Other characteristics of serious games are that they use entertainment principles, creativity and technology to build games that carry out serious purposes. This study is to introduce a serious game for the military training and to describe the elements of game design for developing it.

• Proceedings of the Korea Information Assurance Society Conference
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• 2004.05a
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• pp.219-225
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• 2004

There is increasing tension in the Korean Peninsula from the US' putting the NK's nuclear issue along the line of war in Iraq. However, there is worsening in ROK's field exercise condition from decresing defense financial supports, being difficlut to obtain enough space for volumable exercises, and securities and circumstances issues. With acknowleging those problems, CPX(Command Post Exercise), namely war game exercise which is more economical and scientific exercise has earned its attention as the best alternative measure of field exercise war game exercise has already been applyied to independent, joint, and combined exercises. However, the current war game system contains lots of problems in terms of security. Defense network uses dedicated line isolated with internet and secure data through network level encoding. It is vulerable to get attack during war game exercise or from credited network. System security is also subject to reinforced. This research is performed focusing on network and system level securities, and through it, the author will show the effective and optimized security solution for war game system.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.355-356
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• 2019

글로벌 게임 시장 규모가 전년 대비 13.3% 늘어나고 국내 게임 시장 규모도 전년 대비 6.2%로 증가되고 있는 것이 현재 게임 산업의 현황이다. 그러나 이에 반해 게임을 향한 해킹 공격도 지금 이 순간에도 지능화되고 횟수 역시 기하급수적으로 늘어가는 것도 현 게임 산업의 실태이다. 본 논문에서는 게임을 기반으로 게임 사용자들의 중요한 데이터를 탈취하고 피해를 막기 위해서 좀 더 다른 시각에서 게임 해킹을 방어할 수 있는 방법으로 사이버 보안 테스트를 이용하여 현재 게임 사이트의 보안상태를 점검하고 개선할 수 있는 방법을 제시한다.

• Journal of Korea Game Society
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• v.18 no.5
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• pp.47-58
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• 2018

Game bots distribute a large amount of goods or items used in a game, thereby lowering the value of game goods and items. Also, a large number of game bots hunt monsters and collect items, which hinders ordinary users from enjoying content normally. However, no research has been done on the type of user and the type of activity that the increase in bots specifically affects. Therefore, this study provides a practical implication to encourage users to use games by classifying types based on the game users' access data and analyzing the correlation with user departure due to the increase of bots.

• Journal of Korea Game Society
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• v.16 no.1
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• pp.83-92
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• 2016

An online game is a huge distributed system comprised of servers and untrusted clients. In such circumstances, cheaters may employ abnormal behaviors through client modification or network packet tampering. Client-side detection methods have the merit of distributing the burden to clients but can easily be breached. In the other hand, server-side detection methods are trustworthy but consume tremendous amount of resources. Therefore, this paper proposes a security reinforcement method which involves both the client and the server. This method is expected to provide meaningful security fortification while minimizing server-side stress.

• Journal of Integrative Natural Science
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• v.14 no.4
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• pp.189-196
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• 2021

Recently, as a countermeasure for cyber breach attacks and confidential leak incidents on PC hard disk memory storage data of the metaverse industry, it is required when reviewing and developing a remote-based regular/real-time monitoring and analysis security system. The reason for this is that more than 90% of information security leaks occur on edge-end PCs, and tangible and intangible damage, such as an average of 1.20 billion won per metaverse industrial security secret leak (the most important facts and numerical statistics related to 2018 security, 10.2018. the same time as responding to the root of the occurrence of IT WORLD on the 16th, as it becomes the target of malicious code attacks that occur in areas such as the network system web due to interworking integration when building IT infrastructure, Deep-Access-based regular/real-time remote. The concept of memory analysis and audit system is key.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.4
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• pp.951-962
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• 2018

In order to strengthen the information security of the organization, it is important to invest in the information security facility, but the information security awareness of the organization members is also very important. Effective education is needed to raise awareness of this information security. However, the method of collective education utilized by most organizations is not very effective. Educational methods using serious games can be a good alternative. Educational methods using serious games have already proved effective through various cases and researches and are used in many fields. In this paper, we design and implement a game program to improve the awareness of individual information security policy importance. The training was conducted for the members of the organization and the change of awareness about the importance of individual information security policy was examined through analysis of evaluation data before and after the training.