• The Journal of Korean Association of Computer Education
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• v.14 no.1
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• pp.23-33
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• 2011

The purpose of the study is to investigate the structural relations between variables which give influences on cyber-violence. On the basis of literal materials, those variables as self-control ability, social identity, and norm consciousness are selected as the variables of having influences on cyber-violence, and the analysis is focused on the influence that anonymity, the representative characteristic of Internet, gives them. The validation of the Model is to be done through AMOS 6.0, and the degree of Model validity is to be estimated through the values of ${\chi}^2$, RMSEA, CFI, NNFI. As the result of the analysis, it is found that social identity and norm consciousness are direct causes of cyber-violence. Anonymity does not have any direct relations with it, but it indirectly gives influences on cyber-violence, for it gives some influences on social identity and norm consciousness. That is, anonymity is a cause of weakening social identity and degrading norm consciousness, by which, it is assumed, cyber-violence is triggered.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.181-183
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• 2012

최근 자연어 및 정형언어 처리, 인공지능 알고리즘 등을 활용한 효율적인 의미 기반 지식모델의 생성과 분석 방법이 제시되고 있다. 이러한 의미 기반 지식모델은 효율적 의사결정트리(Decision Making Tree)와 특정 상황에 대한 체계적인 문제해결(Problem Solving) 경로 분석에 활용된다. 특히 다양한 복잡계 및 사회 연계망 분석에 있어 정적 지표 생성과 회귀 분석, 행위적 모델을 통한 추이분석, 거시예측을 지원하는 모의실험(Simulation) 모형의 기반이 된다. 본 연구에서는 이러한 의미 기반 지식모델을 통합에 있어 텍스트 마이닝을 통해 도출된 토픽(Topic) 모델 간 통합 방법과 정형적 알고리즘을 제시한다. 이를 위해 먼저, 텍스트 마이닝을 통해 도출되는 키워드 맵을 동치적 지식맵으로 변환하고 이를 의미적 지식모델로 통합하는 방법을 설명한다. 또한 키워드 맵으로부터 유의미한 토픽 맵을 투영하는 방법과 의미적 동치 모델을 유도하는 알고리즘을 제안한다. 통합된 의미 기반 지식모델은 토픽 간의 구조적 규칙과 정도 중심성, 근접 중심성, 매개 중심성 등 관계적 의미분석이 가능하며 대규모 비정형 문서의 의미 분석과 활용에 실질적인 기반 연구가 될 수 있다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.30 no.1
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• pp.181-207
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• 2019

This study analyzed social issues related to presidential records in press releases using semantic network analysis method. For this purpose, we 1) selected five major news medias in Korea - Chosun Ilbo, JoongAng Ilbo, Dong-A Ilbo, Hankyoreh, and Kyunghyang Newspaper; 2) collected relevant articles including the subject word "Presidential Records", and 3) analyzed issue trends based on timeline using semantic network. According to medias, the issue related to the presidential records were analyzed by comparing the specific keywords in terms of persons, entities, actions. At the results, It is possible to identify the reporting patterns and components of the presidential records related issues. And the difference of media characteristics according to news media tendency was derived.

• Women's Health Nursing
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• v.28 no.2
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• pp.154-164
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• 2022

Purpose: This study aimed to describe clinical nurses' lived experiences of workplace verbal violence through qualitative research using descriptive phenomenology. Methods: Six female Korean nurses who had less than 5 years of clinical experience and had experienced verbal violence in the workplace within the past year participated in the study. Data were collected through one-on-one in-depth interviews with the participants and analyzed using Colaizzi's phenomenological method. Results: A total of 27 codes, eight themes, and four theme clusters were derived from the participants' statements. The four theme clusters of the clinical nurses' experiences of verbal violence in the workplace were as follows: "tip of the iceberg," "beyond me and my control," "fear and resignation," and "personal burden." The participants recognized that nurses experienced verbal violence daily, and that the causes of and responses to verbal violence were determined by external situational factors rather than nurses' individual problems. This suggests that nurses felt that they had no choice but to personally cope with verbal violence and bear the consequences due to systematic indifference and silence about verbal violence experienced by clinical nurses. Conclusion: The findings show that verbal violence was pervasive and unmerited, yet often endured at the cost of a personal burden to nurses. A clear definition of verbal violence and education for employees are needed, and a reporting system should be established to report all forms of violence regardless of the severity of the incident.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.3
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• pp.451-461
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• 2024

Recently, various AI chatbots based on large language models have been released. Chatbots have the advantage of providing users with quick and easy information through interactive prompts, making them useful in various fields such as question answering, writing, and programming. However, a vulnerability in chatbots called "prompt injection attacks" has been proposed. This attack involves injecting instructions into the chatbot to violate predefined guidelines. Such attacks can be critical as they may lead to the leakage of confidential information within large language models or trigger other malicious activities. However, the vulnerability of Korean prompts has not been adequately validated. Therefore, in this paper, we aim to generate malicious Korean prompts and perform attacks on the popular chatbot to analyze their feasibility. To achieve this, we propose a system that automatically generates malicious Korean prompts by analyzing existing prompt injection attacks. Specifically, we focus on generating malicious prompts that induce harmful expressions from large language models and validate their effectiveness in practice.

• Journal of Korea Multimedia Society
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• v.7 no.11
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• pp.1620-1629
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• 2004

The objectives of access control are to protect computing and communication resources from illegal use, alteration, disclosure and destruction by unauthorized users. Although Biba security model is well suited for protecting the integrity of information, it is considered too restrictive to be an access control model for commercial environments. And, Role-Based Access Control(RBAC) model, a flexible and policy-neutral security model that is being widely accepted in commercial areas, has a possibility for compromising integrity of information. In this paper, We present the role graph model which enhanced flexibility and integrity to management of many access permission. Also, In order to represent those rule and constraints clearly, formal descriptions of role assignment rule and constraints in Z language are also given.

• Journal of Korea Game Society
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• v.15 no.4
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• pp.93-110
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• 2015

This study aimed at identifying user recognition of the types and causes of online game trolling through in-depth interview with users of . Online game trolling refers to anti-social behaviors to do acts provoking other users to anger intentionally so induce their actual reaction in online games. Types of online game trolling contained flaming, griefing, unskilled player and lack of understanding on user's rule. And users are recognizing as problems that anonymity is excessively high in the game, a single game has undue significance, team play is given too much emphasis in a situation lacking in social cohesivenessk as the structural causes of trolling in . Accordingly, in order to decrease online game trolling, it is urgent to improve the game-structured layer causing trolling rather than regulate trollers only.

• The Transactions of the Korea Information Processing Society
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• v.5 no.4
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• pp.995-1004
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• 1998

This paper presents an implementation of model checking tool for LTS process specification, which checks deadlock, livelock and reachability for the state and action. The implemented formal checker using modal mu-calculus is able to verify whether properties expressed in modal logic are true on specifications. We prove experimentally that it is powerful to check, safety and liveness for the state and action on LTS. The tool is implemented by $C^{++}$ language and runs on IBM PC under Windows NT.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10a
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• pp.606-608
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• 1998

컴퓨터 통신의 발달로 인하여 정부기관, 학교, 연구소, 기업체등의 사회의 모든 분야에 걸쳐 인터넷 환경이 널리 보급되고 있다. 이를 통하여 컴퓨터간의 단순한 정보와 자원의 공유에 국한되었던 범위를 넘어 점자 결제, 전자 상거래, 상용 서비스 등 많은 편리함이 제공되고 있다. 그러나 최근 들어 이러한 인터넷을 이용한 불법 침입자들의 정보 유출이나 파괴 혹은 금융사고와 같은 범죄가 더욱 많아지고 지능화 되고 있다. 이러한 문제점을 보안 하기위해 불법적인 침입자들이 네트워크를 통해 시스템에 접근하여 중요한 정보를 유출 혹은 파괴하는 행위를 감시할 수 있는 시스템이 필요하게 되었다. 본 논문에서는 이러한 목적을 위해 사용하는 네트워크 모니터링 혹은 칩입 탐지를 위한 도구를 제안하고 기술할 것이다. 이 도구는 현존하는 도구들이 톡정 패킷만을 모니터링할 수 있는 문제점을 강력한 명세언어를 사용하여서 응용프로그램에서 사용하는 패킷까지도 포획할 수 있는 기능을 제공한다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10c
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• pp.511-514
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• 2006

비정상행위 탐지를 위한 프로파일 기술은 침임탐지시스템의 성능 향상을 위한 핵심기술로서, 높은 공격 탐지율과 침입탐지시스템의 수행 시간 단축을 위해 반드시 요구되는 기술이다. 최근 인터넷의 보급과 활성화로 웹 어플리케이션 보안을 위한 연구가 활발히 진행되고 있으나, 웹 애플리케이션의 개발 언어와 공격 특성을 반영하지 못해 그 효율성이 저하되고 있다. 본 논문에서는 웹 공격 탐지를 위해 연구 되었던 서열정렬 알고리즘을 이용한 웹 공격 탐지의 성능 개선을 위하여 웹 애플리케이션 개발에 주로 사용되는 스크립트파일을 기반으로 한 프로파일 방법을 제안하고 실험 결과를 기술하였다.