• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1067-1075
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• 2015

With the recent increase of the number of mobile game users, the side effects such as the manipulation of game points, levels and game speed and payment fraud are emerging. Especially, the emulators which make it possible for mobile applications to run on PC is a great threat to mobile game security since debugging specific game application or automating the game playing can be done easier with them. Therefore, we research the efficient ways to detect widely used Android Emulators such as BlueStacks, GenyMotion, Andy, YouWave and ARC Welder from the perspective of client(app), game server and network to reduce threat to mobile game security.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.6
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• pp.1361-1376
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• 2015

Recently, the size of the mobile game market and the number of mobile game users are growing. Also, as the mobile game's life cycle is increasing at the same time, auto program issue reappears which has been appeared in PC online games. Gamers usually tend to ignore warning messages from antivirus programs and even worse they delete antivirus program to execute auto programs. Therefore, mobile game users are easily compromised if the auto program performs malicious behaviors not only for the original features. In this paper, we analyze whether seven auto programs of "clash of clans" which has a lot more users for a long time perform malicious behaviors or not. We forecast the possible security threats in near future and proposed countermeasures based on this analysis. By analyzing auto programs of highly popular mobile game of today, we can acquire the knowledge on auto program's recent trend such as their development platform, operating mode, etc. This analysis will help security analysts predict auto program's evolving trends and block potential threats in advance.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.1
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• pp.235-255
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• 2019

Recent technological advances and industry changes, the game industry is maximizing fun by supporting cross-play that can be enjoyed by different platform users in PC, Mobile and Console games. If the boundaries are lost through the cross play, unexpected security threats can occur due to new services, even if existing security is maintained above a certain level. The existing online game security researches are mostly fraud detection that can occur in PC and mobile environment, but it is also necessary to study the security of the console game as cross play becomes possible. Therefore, this paper systematically identifies the security threats that can occur when enjoying cross play against console game users using STRIDE and LINDDUN threat modeling, derives security requirements using the international common evaluation standard.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1123-1129
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• 2015

Macro(automatic hunting) of mobile game is a program that touch the screen by defined rules like a game bot in PC online games, and it is used by make various ways like android application or windows application program. This gives honest users deprivation and make to lose their interest. Finally they would leave the game and gradually game life would be shorten. Although many studies to prevent these problems in PC online game are conducted, applying mobile game to PC's way is difficult because mobile games are limited to use the network and device performance is different with PC. In this paper, we propose a framework for macro detection by using the touch event information. A touch event on the mobile game is a necessary control command to the game. Because macro touches the screen with the same pattern, there is a difference between normal user's behavior and macro's operation. In mobile games that casual games are mostly, Touch event is the best difference that identify normal user against macro for a short period of time. As a result of detecting macros used in real mobile game by using the proposed framework it showed 100% accuracy and 0% false positive rate.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.238-242
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• 2021

Game theory has been regarded as a useful theoretical tool for modeling the interactions between distinct entities and thus it has been harnessed in various research field. In particular, research attention has been shown to how to apply game theory to modeling the interactions between malign and benign entities in the field of wireless networks. Although various game theoretic modeling work have been proposed in the field of wireless networks, our proposed work is disparate to the existing work in the sense that we focus on mobile malign node detection problem in static wireless sensor networks. More specifically, we propose a Bayesian game theoretic modeling for mobile malign node detection problem in static wireless sensor networks. In our modeling, we formulate a two-player static Bayesian game with imperfect information such that player 1 is aware of the type of player 2, but player 2 is not aware of the type of player 1. We use four strategies in our static Bayesian game. We obtain Bayesian Nash Equilibria with pure strategies under certain conditions.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.01a
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• pp.179-180
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• 2017

현재 국내 모바일 게임 시장 규모와 사용자들이 지속적으로 증가되고 있으며, 스마트폰을 이용하여 게임을 즐기는 시간도 계속 늘어나고 있다. 이런 시장 현황의 이면에는 모바일 게임 시장이 사이버 범죄의 진원지로 급부상하고 있다. 본 논문에서는 모바일 게임을 개발하는데 있어서 게임 내부에서 사용하고 있는 데이터들의 난독화 기술과 관련한 프로그램을 제안하여 게임의 원본 소스 데이터를 해킹으로부터 보호할 수 있는 게임 보안 기술을 제안한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.597-599
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• 2021

5G technology will be applied to various technologies related to game changers in the defense field. In addition, the establishment of a mobile work environment will be utilized. 5G has emerged as a new threat due to major technologies different from previous technologies. And due to 5G technology, there is an increasing demand to apply mobile technology to the defense sector. In this paper, we look at the security policy for defense 5G operation and the step-by-step construction plan consisting of three.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.110-111
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• 2018

모바일 게임 시장의 성장과 함께 보안 위협도 함께 증가하고 있는 것이 현재 상황이다. 게임 앱을 해킹하여 결제를 우회한 뒤 금전적 이익을 가로채거나, 원작 게임의 복제 앱을 만들어 부당이득을 취하는 일이 빈번하게 발생하고 있다. 본 논문에서는 모바일 게임 보안을 위하여 위협 인텔리전스와 같은 기술을 기반으로 모바일 게임에서 악용되고 있는 단순한 공격 유형들을 대상으로 사전에 수집 분석하여 지능형 공격을 차단할 수 있는 방안을 제시한다.

• Journal of Korea Game Society
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• v.13 no.6
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• pp.85-94
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• 2013

Repackaging of mobile games is serious problem in the Android environment. In this paper, we propose a repackaging detection technique using shortened instruction sequence. By using shortened instruction sequence, the proposed technique can be applicable to a mobile device and can block repackaged apps coming from various sources. In the experiment, our technique showed high accuracy of repackaging detection.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.5
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• pp.1069-1076
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• 2017

Recently $Pok\acute{e}mon$ GO implements an online game with location-based real time augmented reality on mobile. The correct play of this game should be based on collecting the $Pok\acute{e}mon$ that appears as the user moves around by foot, but as the popularity increases, it appears an abuse to play easily. Many people have used an application that provides a mock location service such as Fake GPS, and these applications can be judged to be cheating in online games because they can play games in the house without moving. Detection of such cheating from a client point of view (mobile device) can consume a large amount of resources, which can reduce the speed of the game. It is difficult for developers to apply detection methods that negatively affect game usage and user's satisfaction. Therefore, in this paper, we propose a method to detect users abusing mock location service in online game by route analysis using GPS location record from the server point of view.