• Journal of dental hygiene science
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• v.13 no.3
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• pp.314-320
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• 2013

This study was aimed to investigate the motivators of smoking in 300 subjects using convenient extraction in one hospital. After informed consent, the survey that consisted of general characteristics, health behavior, stage of change, health behavior-related-perceived benefit, health behavior-related-perceived barrier, health behavior-related-family support, oral health behavior, subjective oral health and others was carried out. The smoking rate was higher in case of male (sex), high school graduates (education) and 2~3 million Korean won (KRW) (monthly income). The present smokers responded lower oral health behavior (p<0.001), lower health behavior-related-perceived benefit (p=0.021), higher health behavior- related-perceived barrier (p<0.001) and lower stage of change (p<0.001). The oral health related variables were not influenced by smoking. In logistic regression model, odds ratios in smoking were 0.378 in below average (health behavior-related-perceived barrier), 4.746 in below average (stage of change), 12.743 in male (sex) and 3.271 in 2~3 million KRW (monthly income/standard : over 3 million KRW). It was suggested that oral health related manpower should take account of not only smoking-related oral health but also motivators of smoking as to deliver effective no-smoking program.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1097-1114
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• 2015

As the online game market grows, illegal activities such as cheating play using game bots or game hack programs, running private servers, hacking game companies' system and network, and account theft are also increasing. There are various security measures for online games to prevent illegal activities. However, the current security measures are not enough to prevent all highly evolving game attacks and frauds. Some security measure can do harm game players usability, game companies need to develop usable security measure that is well fit to game genre and contents design. In this study, we surveyed the recent trend of various security measure applied in online games. This research also classified illegal activities and their related countermeasure for detection and prevention.

• Convergence Security Journal
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• v.1 no.1
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• pp.57-68
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• 2001

Computer security is considered important because of the side effect generated from the expansion of computer network and rapid increase of the use of computer. Intrusion Detection System(IDS) has been an active research area to reduce the risk from intruders. In this paper, the Hybrid Intrusion Detection System(HIDS) based biometric immuntiy collects and filters audit data by misuse detection is innate immune, and anomaly detection is acquirement immune in multi-hosts. Since, collect and detect audit data from one the system in molt-hosts, it is design and implement of the intrusion detection system which has the immuntiy the detection intrusion in one host possibly can detect in multi-hosts and in the method of misuses detection subsequently.

• Journal of Internet of Things and Convergence
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• v.5 no.2
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• pp.95-101
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• 2019

Entering the era of the 4^th Industrial Revolution and the Internet of Things, various services are growing rapidly, and various researches are actively underway. Among them, research on abnormal behaviors on various devices that are being used in the IoT is being conducted. In a hyper-connected society, the damage caused by one wrong device can have a serious impact on the various connected systems. In this paper, We propose a technique to cope with the problem that the threats caused by various abnormal behaviors such as anti-debugging scheme, anomalous process detection method and back door detection method on how to increase the safety of the device and how to use the device and service safely in such IoT environment.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.48 no.5
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• pp.25-30
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• 2011

This paper present a method for abnormal traffic behavior, or trajectory, detection in static traffic surveillance camera with user-defined trajectories. The method computes the abnormality of moving object with a trajectory of the object and user-defined trajectories. Because of using user-define based information, the presented method have more accurate and faster performance than models need a learning about normal behaviors. The method also have adaptation process of assigned rule, so it can handle scene variation for more robust performance. The experimental results show that our method can detect abnormal traffic behaviors in various situation.

• Korea journal of population studies
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• v.28 no.1
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• pp.313-343
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• 2005

오늘날 환경문제는 범지구적이며 인류의 생존 자체를 위협할 만큼 심각하다. 산업화가 환경문제 발생의 근원적 원인이다. 하지만 자연관, 자연에 대한 지식 증가, 기술개발, 경제성장과 불평등 등도 환경문제 발생의 중요한 원인들이다. 인구는 사회가 성립하는 데 필요한 요소이지만 환경문제 발생의 한 원인이 되기도 한다. 그 이유는 인구가 지탱되는 데 필요한 의식주는 전적으로 자연자원에 의존하고 있는데 인구의 크기는 자연이 감당할 수 있는 용량을 초과했기 때문이다. 이러한 관점은 인구와 환경의 관계에서 인구를 하나의 집합체로 보고 양적으로 접근한다. 그러나 환경문제 발생원으로서는 인구는 질적 차원에서도 접근할 필요가 있다. 즉 집합체로서의 인구를 구성하는 개별 행위자들이 일상생활에서 얼마나 친환경적 행동을 하는 가라는 점도 파악돼야 한다. 왜냐하면 절대 인구수가 같더라도 전체로서의 인구를 구성하는 개별 행위자들의 자연관, 생활양식 등에 따라 자연에 전개하는 행동이 다르고 결국 자연에 가해지는 영향(impact)이 다르기 때문이다. 집합체로서의 인구가 환경문제 발생원인으로 의히마는 바는, 자연자원의 공급량을 훨씬 초과해 추출한다는 점과 자연이 흡수 처리할 수 있는 능력 이상으로 생산${\cdot}$유통${\cdot}$소비과정에서 과도하게 폐기물을 발생시킨다는 점이다. 반면 개별 행위자로서의 인구가 환경문제 발생원인으로 의미하는 바는 풍요성과 편리성을 극대화시키고 일상생활에서 친환경적이지 않은 행동을 무분별하게 한다는 점이다. 이런 맥락에서 이 연구는 환경문제의 본질을 먼저 논의했고 환경문제 발생 메커니즘에 인구가 어떤 방식으로 적용하는 지를 두 가지 차원 - 집합체로서의 인구와 개별 행위자로서의 인구 - 에서 논의하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.629-631
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• 2013

In many enterprises, fraudulent activities and processes are widely prevalent. But, their employees would not report the illegal activities since they would be attacked by defensive and reactive retaliations in their enterprises. Against this backdrop, we design notification systems for whistle blowing. The design would certainly be useful for fraudulent process notification while using management information systems in the field of business. The fraudulent process notification is related to whistle blowing systems, methods, storage media, and so on. Also, we establish the whole architecture of fraudulent process notification with functional structure from the viewpoint of systems and whistle blower. The flow diagram of notification method is added.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.3
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• pp.79-91
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• 2010

In digital forensics, the creation time, last modified time, and last accessed time of a file or folder are important factors that can indicate events that have affected a computer system. The form of the time information varies with the file system, depending on the user's actions such as copy, transfer, or network transport of files. Specific changes of the time information may be of considerable help in analyzing the user's actions in the computer system. This paper analyzes changes in the time information of files and folders for different operations of the NTFS and attempts to reconstruct the user's actions.

• Journal of agricultural medicine and community health
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• v.24 no.2
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• pp.269-289
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• 1999

This study was conducted to examine the relationship among health concern, health practice and ADL of elderly staying at home in a rural community and their affecting factors. Data were collected through direct interviews made with 480 old people aged more than sixty-five from November 15, 1998 to December 20, 1998. Out of 189 male and 291 female, the high-level group that showed high health concern accounted for 44.4%, the medium-level group for 13.1%, and the low-level group for 42.5%, in the health practice, the high-level group accounted for 3.8%, the medium-level group for 18.8%, and the low-level group for 77.5%. In the self-rated health status, the high-level group accounted for 29.0%, the medium-level group for 31.0%, and the low-level group for 40.0%, and in the ADL, the high ADL group accounted for 91.5%, and the low-level ADL group for 8.5%. The result of the chi-square test showed that for male, there was a significant relation between the health concern and the health practice index score. In the relation between the health practice index score and the self-rated health status, there was significant positive relationship between health practice index and self-rated health status, and in the relation between the health practice Index score and the ADL, old people with higher health practices showed good ADL(but not significant). Old people with good ADL also showed good self-rated health status. In the multiple regression analysis where the health practice was used as a dependent variable, the health concern was added to the sociodemographic variables as an independent variables, a formula was formed for male old people only and ones with high concern in health showed good health practice. In the multiple logistic regression analysis where the sociodemographic variables to which the health practices was added were used as an independent variable and the ADL as a dependent variable, the ADL appeared to be not good if for male old people the living costs were born by their sons and daughters and as for female old people their ages increased, but it was good if old people had sources of health information such as hospitals or health centers. The self-rated health status was worse, for male old people, if they had short living costs or diseases and for female old people, if they had spouses, living costs born by their sons and daughters or diseases, but it was better, for male old people, if they had periodical gatherings or carried out health practices a lot, and for female old people, if they had sources of health information such as hospitals or health centers or carried out health practices a lot. In view of the results stated above, the higher the old people had health concern, the more they carried out health practices, and the more they carried out health practices, the better they had ADL and self-rated health status that served as the level of health. Further, the better ADL, the better self-rated health status.

• Journal of KIISE
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• v.45 no.3
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• pp.294-302
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• 2018

With the emergence of the new service industry due to the development of information and communication technology, cyber space risks such as personal information infringement and industrial confidentiality leakage have diversified, and the security problem has emerged as a critical issue. In this paper, we propose a behavior-based anomaly detection method that is suitable for real-time and large-volume data analysis technology. We show that the proposed detection method is superior to existing signature security countermeasures that are based on large-capacity user log data according to in-company personal information abuse and internal information leakage. As the proposed behavior-based anomaly detection method requires a technique for processing large amounts of data, a real-time search engine is used, called Elasticsearch, which is based on an inverted index. In addition, statistical based frequency analysis and preprocessing were performed for data analysis, and the DBSCAN algorithm, which is a density based clustering method, was applied to classify abnormal data with an example for easy analysis through visualization. Unlike the existing anomaly detection system, the proposed behavior-based anomaly detection technique is promising as it enables anomaly detection analysis without the need to set the threshold value separately, and was proposed from a statistical perspective.