• Journal of Internet Computing and Services
• /
• v.8 no.6
• /
• pp.103-114
• /
• 2007

In an arcade game, the users can easily predict the monster's action because most of the game monster's action patterns are acted only in the predefined patterns, This paper attempts how to increase the player's satisfaction while making the unpredictable action patterns easily, This research defines and realizes the monster's action patterns through the FSM algorithm. In addition, this paper added the predictable factors of monsters in an action patterns of a game monster to optimize the game, On analyzing the result of game play, the game monster's action was evenly used in the whole playing map and the game monster showed that it operated without the recursion of certain action properly.

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

• Journal of Korea Game Society
• /
• v.7 no.3
• /
• pp.39-48
• /
• 2007

Leisure is a very essential factor to reduce our stresses in our daily life. As work pattern is changed to a five-day week, personal desire that wants to enjoy leisure has been getting increased. In such a context, game has been put down a root as a new leisure activity to undergraduate students. Desire for game to undergraduate students has been getting more various than it was in the past and they seek for something new. But game companies do not reflect the students' desires greatly more than expected and make only what the companies seek for. In this study, we have focused on the assessment about what types and patterns the students represent for game application during their leisure activities. And we propose marketing strategies based on our study results.

• Journal of Internet Computing and Services
• /
• v.14 no.6
• /
• pp.125-139
• /
• 2013

Distribution of malicious applications developed by attackers is increasing along with general normal applications due to the openness of the Android-based open market. Mechanism that allows more accurate ways to distinguish normal apps and malicious apps for common mobile devices should be developed in order to reduce the damage caused by the rampant malicious applications. This paper analysed the normal event pattern from the most highly used game apps in the Android open market to analyse the event pattern from normal apps and malicious apps of mobile devices that are based on the Android platform, and analysed the malicious event pattern from the malicious apps and the disguising malicious apps in the form of a game app among 1260 malware samples distributed by Android MalGenome Project. As described, experiment that extracts normal app and malicious app events was performed using Strace, the Linux-based system call extraction tool, targeting normal apps and malicious apps on Android-based mobile devices. Relevance analysis for each event set was performed on collected events that occurred when normal apps and malicious apps were running. This paper successfully extracted event similarity through this process of analyzing the event occurrence characteristics, pattern and distribution on each set of normal apps and malicious apps, and lastly suggested a mechanism that determines whether any given app is malicious.

• Journal of Korea Game Society
• /
• v.2 no.1
• /
• pp.55-61
• /
• 2002

유 무선환경에서 침입 패턴이 다양화되고, 모바일의 편리성이 강조되면서 네트워크 대역폭이 다양한 전송 기반을 요구하고 있다. 그리고 무선기반의 자료가 급증하고 있어, 무선환경에서의 침입탐지시스템 성능에 문제가 될 수 있다. 그러므로 게이트웨이를 근간으로 한 무선전송 기반을 보호하고, 컴퓨터 운영체제 상에 내재된 보안상의 결함을 보호하기 위하여 기존의 운영체제 내에 보안 기능을 추가한 운영체제이며, 커널의 핵심 부분을 인지하여 무선기반의 시스템 사용자에 대한 식별 및 인증, 강제적 접근 통제, 임의적 접근 통제, 해킹 대응 등의 보안 기능 요소들을 갖추게 하여 보안성에 강한 시스템 유지를 요구한다. 그러므로 감시대상의 정보를 미리 알고, WAP환경하에서 감시대상에 유효한 침입패턴만을 검사하도록 침입패턴 데이터베이스를 분리하는 모델을 제시하여, 이러한 문제점에 대한 해결책을 제시하고자 하였다. 따라서 기존 침입탐지시스템의 패턴 데이터베이스를 분석하였고, 이를 적절히 분리하여 이를 다시 운영체제에 반영하는 기법이다. 그리고 이를 제시한 모델을 검증하고자 실제 구현과 실험을 통해 이를 검증하였다.

• Journal of Digital Contents Society
• /
• v.12 no.2
• /
• pp.217-223
• /
• 2011

AI(Artificial Intelligence) refers to the area of computer engineering and IT technology that focuses on the methodology and creation of intelligent agents. The Othello game is often produced with AI, since it is played with relatively simple rules on a board and on a limited space of 8 rows and 8 columns. Previous algorithms take longer time than desirable and often fail to face new circumstances, as they search for all the possible cases and rules. In order to solve this crucial weakness, we propose that a CBR algorithm be applied to Orthello. Case-Based Reasoning(CBR), is the process of solving new problems based on the solutions of the past similar problems. We can apply this process to Othello and expedite the process of computer reasoning for a solution to new cases based on the data from accumulated past cases. Then, these new solutions are dynamically added to the set of past cases so that it becomes harder for players(users) to be able to read the pattern. The proposed system in which a CBR algorithm is applied to the Othello game makes the computation process faster and the game harder to play.

• Journal of Digital Convergence
• /
• v.15 no.4
• /
• pp.461-468
• /
• 2017

The current available recommendation systems for mobile games have a couple of problems. First, there is no knowing whether they make a pattern recommendation for games that actual users prefer or for games that they are simply interested in. It is also impossible to know the subjective preference of users in a direct manner. An AHP(Analytic Hierarchy Process)-based recommendation system for mobile games was thus developed to reflect the subjective preference of users directly, but it had its own problem since the degree of preference could vary among users in spite of the same scale for their preferable items. In an effort to solve those problems, this study implemented a recommendation system for mobile games by applying triangular fuzzy numbers of the Fuzzy-AHP technique and the independence of evaluation items in the Bayesian Network. The findings show that the proposed recommendation system recorded the highest accuracy of recommendation results and the highest level of user satisfaction.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.14 no.1
• /
• pp.129-137
• /
• 2010

There are a lot of multimedia functions getting included in mobile devices recently, not only simple audio but visual functions as well, such as video playing, game and web browsing. Such the visual multimedia functions brought the strong requirement for much bigger LCD Display and high resolution. And the brightness of LCD is also one of major requirements and it is required to be more bright. However, LCD brightness is limited to increase because of power consumption. It occupies nearly 30% of the whole system power. This thesis suggests an effective and simple method of adjusting the LCD backlight brightness, considering a characteristic of battery and user pattern.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2009.05a
• /
• pp.451-454
• /
• 2009

There are a lot of multimedia functions getting included in mobile devices recently, not only simple audio but visual functions as well, such as video playing, game and web browsing. Such the visual multimedia functions brought the strong requirement for much bigger LCD Display and high resolution. And the brightness of LCD is also one of major requirements and it is required to be more bright However, LCD brightness is limited to increase because of power consumption. It occupies nearly 30% of the whole system power. This thesis suggests an effective and simple method of adjusting the LCD backlight brightness, considering a characteristic of battery and user pattern.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.6
• /
• pp.181-186
• /
• 2023

In this study, it argues that adolescents lack awareness of the Fourth Industrial Revolution and lack of job expression in games, and suggests promising future vocational education through games. Various previous studies reviewed job education, limitations, and educational effects of online games, and studied job expression in the game from the perspective of future promising jobs, and 45 out of 200 jobs appeared in mobile simulation games. It was found that 'content creators', 'drone experts', and 'software developers' were expressed as promising jobs in the future. Although it has a limitation of investigating only the main character's job, it is meaningful that it pointed out that the current game does not sufficiently cover the functional aspects of vocational education for future promising jobs and suggested the need to reflect future promising jobs.