• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.11
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• pp.2866-2879
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• 2012

Among the various security threats in online games, the use of game bots is the most serious problem. Previous studies on game bot detection have proposed many methods to find out discriminable behaviors of bots from humans based on the fact that a bot's playing pattern is different from that of a human. In this paper, we look at the chatting data that reflects gamers' communication patterns and propose a communication pattern analysis framework for online game bot detection. In massive multi-user online role playing games (MMORPGs), game bots use chatting message in a different way from normal users. We derive four features; a network feature, a descriptive feature, a diversity feature and a text feature. To measure the diversity of communication patterns, we propose lightly summarized indices, which are computationally inexpensive and intuitive. For text features, we derive lexical, syntactic and semantic features from chatting contents using text mining techniques. To build the learning model for game bot detection, we test and compare three classification models: the random forest, logistic regression and lazy learning. We apply the proposed framework to AION operated by NCsoft, a leading online game company in Korea. As a result of our experiments, we found that the random forest outperforms the logistic regression and lazy learning. The model that employs the entire feature sets gives the highest performance with a precision value of 0.893 and a recall value of 0.965.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.7
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• pp.1531-1536
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• 2011

We propose an automatic swearword filter system for online game chatting by using Support Vector Machines(SVM). We collected chatting sentences from online games and tagged them as normal sentences or swearword included sentences. We use n-gram syllables and lexical-part of speech (POS) tags of a word as features and select useful features by chi square statistics. Each selected feature is represented as binary weight and used in training SVM. SVM classifies each chatting sentence as swearword included one or not. In experiment, we acquired overall 90.4% of F1 accuracy.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.211-221
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• 2023

After COVID-19, various metaverse platforms for online lectures are being provided. Most of the classrooms are tiered type, and they are divided into intensive classrooms and open classrooms depending on the shape of the classrooms. Intensive classrooms provide a one-sided lecture format, so there are many difficulties in conducting communication-based classes that carry out team missions like PBL classes. In this study, we propose a metaverse classroom that applies the functions of a multiplayer online role-playing game (MMORPG), one of the game genres suitable for PBL classes. The proposed system provides various interaction techniques for PBL classes. We evaluated user satisfaction when this was applied to actual classes. As a result of the evaluation, it was found that users preferred text and voice chatting more than video chatting and solving missions like games was very helpful in online classes.

• Journal of Korea Game Society
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• v.4 no.1
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• pp.3-13
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• 2004

On today, online community that is irrespective to geometrical area and time has been appeared by information technology and development of internet. It has been significant decision method of a personal and company. And online community is variously classified by it's purpose. Among online community, online game community is be roughly classed as community in online game and community in related online game. Community in related online game community is means for interchanging informations using e-mail, bulletin board, so as on. These information contain game playing, game contents so as on. And community in online game is implemented as team, item exchange, chatting etc. Importance of community in online game and community in related online game have been increased. But online game community is not distinguished, comparing with importance of it. So, in this paper, we study on the case analysis of cyworld's community that developed characteristic community. Cyworld community is suitable for new generation and korean life style, method of adaption online game. This paper should be profitable for community in re lated online game, community company to planning, developing a characteristic community.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.299-302
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• 2019

현재 게임을 즐기는 유저의 스펙트럼은 미취학 아동부터 노년에 이르기까지 매우 넓어졌다. 반면, 온라인 게임 내의 헤이트 스피치는 최근 사회적 문제로 대두되고 있다. 헤이트스피치 문제는 점차 심각해져가고 있지만 이 문제를 개선하기 위한 가이드라인은 명확히 제시되어 있지 않다. 본 논문에서는 온라인 게임 내 텍스트와 음성 채팅을 통해 발생하는 헤이트 스피치의 현황과 문제점을 알아보고 그에 대한 해결방향을 제시한다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1115-1122
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• 2015

In recent years, the use of game bots by illegal programs has been expanded from individual to group scale; this brings about serious problems in online game industry. The gold farmers group creates an in-game social community so-called "guild" to obtain a large amount of game money and manage game bots efficiently. Although game developers detect game bots by detection algorithms, the algorithms can detect only part of the gold farmers group. In this paper, we propose a detection method for the gold farmers group on a basis of normal and bot guilds characteristic analysis. In order to differentiate normal and bots guild, we analyze transaction patterns for individuals, auction house and chatting. With the analyzed results, we can detect game bot guilds. We demonstrate the feasibility of the proposed methods with real datasets from one of the popular online games named AION in Korea.

• The Journal of Korean Association of Computer Education
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• v.16 no.1
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• pp.33-42
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• 2013

In this paper, through conducting a survey from 547 male and female high school students in Busan, we found their favorite computer games are about five and the highest linguistic problem in on-line computer games was vulgar languages. Most of respondents thought that the vulgar languages on the on-line games were serious and said that we have experienced the vulgar languages before high school. Therefore, in this paper, we suggest it is necessary to prepare a countermeasure system about adolescents' vulgar languages on the on-line games and for adolescents to take etiquette lessons on the on-line games from either the primary school or before then.

• Research in Community and Public Health Nursing
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• v.12 no.1
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• pp.150-167
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• 2001

This cross sectional study was done to find out the situation of computer online pornography access by 4th to 6th grade elementary school students. The subjects of this study were three elementary schools in Andong, which were selected randomly and 120 students randomly selected from 4th to 6th grade for a total of 360 students. The questionnaire was composed with the help of a community health nursing professor and through the reference review. The collected data were analysed by a PC SPSS 10.0 according to school grade and sex, an 12-test was implemented to learn what percent of students have computers and software which prohibit the viewing of online pornography, access motivation and time, content viewed, attitude after accessing the contents, and opinions about computer online pornography. The results of this study were as follows. 1. A total of 86.1% of students had computers at home. Most students placed computers in their own room, 78.9% of students had computer online communication experience. Higher grade students tended to have more experience of communications on the internet (P<0.001). Most students chatted on the internet once or twice a week and higher grade students tended to communicate online more frequently. (P<0.001). Most students used computers more than one hour a day (P<0.05). They used computers according to the following priorities: game, studying, listening to music, communications, chatting. 2. Regarding the frequency of going computer online more than seven times per week, male students showed a higher frequency than female students (P<0.05). Male students used computers more than one hour a day and female students less than half an hour (P<0.001). Male students mostly used computers to play computer games. On the other hand. female students used the computer to study, listen to music, and chat (P<0.001). 3. Regarding software installation to prevent access of computer online pornography, a total of 19.4% of students responded they installed one. but 80.6% didn't have any, 20.3% of students had accessed pornography, 46.6% of students responded. they first get to know to the computer online pornography through friends. 4. The reasons for accessing computer online pornography were ranked as follows: curiosity, interest, to release stress, and sex drive (P<0.05). Obscene contents were found in computer games, pictures, and video. Among these, pictures were the most common. 5. Regarding students' attitude toward online pornography, most students responded that they took much pleasure in the contents (P<0.05). 6. Regarding the question 'Does online pornography degrade morals and cause a sex crime', most students responded as 'no'. They also responded positively to the suggestion that the contents would be effective in preventing sex crimes and to release stress. 74.7% of students responded that males' access of the contents as proper but females' access as immoral. Regarding social efforts to protect students from this harmful environment. most replied that those efforts were unnecessary (P<0.001).