• Title/Summary/Keyword: 대응모델

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A Study on the Infringement Incident Response Curriculum Model in IoT Environment (사물인터넷 환경에서 침해사고대응 교육과정 모델에 관한 연구)

  • Keun-Ho Lee
    • Journal of Internet of Things and Convergence
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    • v.9 no.3
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    • pp.55-60
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    • 2023
  • The IoT environment is very vulnerable to security threats, and if an intrusion occurs, it can cause great damage. In order to strengthen the security of the IoT environment, a curriculum that considers the characteristics of the IoT environment is needed. In this paper, we propose a curriculum model for cyber incident response in the Internet of Things environment. The proposed curriculum model was designed as a model for security threats in the IoT environment, types of intrusion incidents, and incident response procedures. The proposed curriculum model is expected to contribute to improving security awareness in the IoT environment and fostering cyber incident response experts in the IoT field. The proposed curriculum model strengthens the security of the IoT environment and is expected to be safe through security incident response in the IoT.

Source Tracking Models on Chemical Leaks for Emergency Response in Chemical Plants Based on Deep Learning of Big Data (화학공장 누출사고 대응을 위한 빅데이터-딥러닝 누출원 추적모델)

  • Kim, Hyunseung;Shin, Dongil
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2017.11a
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    • pp.339-340
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    • 2017
  • 화학공장의 누출사고는 초기에 적절히 대응하지 못할 경우 화재 폭발과 같은 2차 3차의 복합재난사고로 확산될 위험성이 매우 높다. 이러한 이유로 누출사고 발생 초기에 누출이 발생한 지점을 신속히 파악하여 현장안전요원에게 알림으로써, 보다 체계적이고 효율적인 초기대응을 가능하게 하여, 사고피해를 완화시킬 수 있는 통합적인 누출사고 대응시스템 구축은 매우 중요하다고 할 수 있다. 본 연구에서는, 통합적인 누출사고 대응시스템 구축을 위한 선행연구로, 딥러닝 기반의 누출원추적 모델 개발을 제안한다. 여수에 위치한 실제 화학공장을 대상으로 누출사고 시나리오에 대한 Computational Fluid Dynamics (CFD) 시뮬레이션을 진행한 뒤, 화학공장 경계면에 배치된 각 센서별 위치에서의 농도, 풍향 그리고 풍속데이터를 추출하고, 센서 좌표를 추가하여 인공신경망을 학습시켰다. 학습된 모델은 40개의 누출후보군에 대해 학습에 사용되지 않은 상황들에서도 75.43%의 정확도로 누출이 일어난 지점을 실시간 예측해냄을 확인하였다. 또한 누출지점 예측이 일치하지 않은 경우도, 예측된 지점이 실제 누출이 일어난 지점과 물리적으로 매우 인접함을 확인함으로써 제안된 모델을 실제 현장에 적용할시 기대되는 효과는 더 클 것으로 판단하였다.

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Managing and Modeling Variability of UML Based FORM Architectures Through Feature-Architecture Mapping (휘처-아키텍처 대응을 통한 UML 기반 FORM 아키텍처의 가변성 모델링 및 관리)

  • Lee, Kwan-Woo
    • The KIPS Transactions:PartD
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    • v.19D no.1
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    • pp.81-94
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    • 2012
  • FORM(Feature-Oriented Reuse Method) is one of representative product line engineering methods. The essence of FORM is the FORM architecture models, which can be reused in the development of multiple products of a software product line. The FORM architecture models, however, have the following problems when applied in practice. First, they are not standardized models like UML(Unified Modeling Language) and therefore they can be constructed only through a specific modeling tool. Second, they do not represent architectural variability explicitly. Instead their variability is only managed through a mapping from a feature model. To address these two problems, we developed at first a method for representing the FORM architecture models using UML, which enables the FORM architecture models to be constructed through various available UML modeling tools. Also, we developed an effective method for representing as well as managing the variability of the FORM architecture models through a mapping from a feature model.

Development of Agricultural Reservoir Inflow Prediction Model Using Deep Learning (딥러닝 기법을 활용한 농업용 저수지 유입량 예측 모델 개발)

  • Seon Mi Lee;Chul Hee Lee;Jae Eung Yi
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.390-390
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    • 2023
  • 최근 기후변화로 인해 가뭄이 5 ~ 7년 주기로 발생하고 있으며 가뭄 강도가 심화되고 있고, 이러한 현상은 향후 10년 이상이 지속될 것으로 예측되고 있다. 이러한 가뭄으로 인해 2022년에는 각 지역에서 제한급수 및 운반급수 피해인구가 발생하였으며, 전국의 다목적댐 또는 용수전용댐에서는 가뭄 대응을 위해 용수를 감량하였다. 특히 2018년에는 농업용수 공급이 어려워 다수의 지역에서는 논이 마르고 밭이 시들어 농업피해가 발생하였다. 이에 따라 농업용 저수지에서는 가뭄 대응을 위해 저수지 운영곡선 및 연계운영 등과 같은 저수지 운영방안 수립이 필요한 실정이다. 하지만 다목적댐과는 달리 농업용 저수지에서는 수문 계측자료가 부족하기 때문에 저수지 운영방안 수립에 한계가 있다. 이에 본 연구에서는 심각한 가뭄이 발생한 섬진강 유역의 농업용 저수지를 대상으로 딥러닝 모델 기반의 일단위 유입량 예측모형을 개발하였다. 저수지 유입량을 예측하기 위해서는 유역평균강우량 및 과거 유입량 등을 독립변수로 선정하였으며, 시계열 자료 분석을 위해 딥러닝 모델 중 GRU(Gated Recurrent Unit) 모델을 활용하였다. 향후에는 예측 유입량을 활용하여 농업용 저수지의 수요량을 고려한 저수지 운영방안 수립을 통해 가뭄에 대응할 수 있을 것으로 기대된다.

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Developing Countermeasure Model to Prevent Planned Lawsuit on Apartment Construction Defects (공동주택 하자기획소송에 대한 건설사 사전 대응 모델 개발)

  • Cho, Youngsun;Cha, Heesung;Kim, Kyungrai;Hwang, Youngkyu;Shin, Dongwoo
    • Korean Journal of Construction Engineering and Management
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    • v.15 no.3
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    • pp.74-82
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    • 2014
  • The proportion of apartment housing has been increased to solve the housing problems resulted from rapid growth in urban population and urban economy. With the increase in apartment's proportions and the concern about quality of housing, the contractors have made efforts to satisfy the customers in improving the quality of housing. Despite these efforts, the conflicts between the contractor and the customers are getting serious. Also the disputes and the litigation of defect are increasing because of the contractor's negative treatment and inadequate countermeasure. In this study the defect lawsuits which bring actions against the contractors are collected and analyzed. And then the strategic countermeasures are proposed according to the classifying the type of defect and size. The suggested countermeasure model before the defects are resulted is expected to contribute in developing the contractors strategies to reduce the conflicts against customers.

Macroscopic Treatment to Unknown Malicious Mobile Codes (알려지지 않은 악성 이동 코드에 대한 거시적 대응)

  • Lee, Kang-San;Kim, Chol-Min;Lee, Seong-Uck;Hong, Man-Pyo
    • Journal of KIISE:Computing Practices and Letters
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    • v.12 no.6
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    • pp.339-348
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    • 2006
  • Recently, many researches on detecting and responding worms due to the fatal infrastructural damages explosively damaged by automated attack tools, particularly worms. Network service vulnerability exploiting worms have high propagation velocity, exhaust network bandwidth and even disrupt the Internet. Previous worm researches focused on signature-based approaches however these days, approaches based on behavioral features of worms are more highlighted because of their low false positive rate and the attainability of early detection. In this paper, we propose a Distributed Worm Detection Model based on packet marking. The proposed model detects Worm Cycle and Infection Chain among which the behavior features of worms. Moreover, it supports high scalability and feasibility because of its distributed reacting mechanism and low processing overhead. We virtually implement worm propagation environment and evaluate the effectiveness of detecting and responding worm propagation.

A Study on Voice over Internet Protocol Security Response Model for Administrative Agency (행정기관 인터넷전화 보안 대응 모델 개발 연구)

  • Park, Dea-Woo;Yang, Jong-Han
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.10a
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    • pp.237-240
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    • 2011
  • Voice over Internet Protocol calls using administrative agency to build a national information and communication service, 'C' group, providers, the KT, SK Broadband, LG U+, Samsung SDS, as there are four operators. To prepare for an attack on Voice over Internet Protocol for administrative agency, security is a need for research to support the model. In this paper, the Internet telephone business of Administrative Agency to investigate and analyze the specific security measures to respond. Should set priorities around confidentiality about five security threats from NIS to Study of Voice over Internet Protocol Security Response Model for Administrative Agency. (1) Illegal wiretapping, (2) call interception, (3) service misuse, (4) denial of service attacks, (5) spam attacks, write about and analyze attack scenarios. In this paper, an analysis of protection by security threats and security breaches through a step-by-step system to address the research study is a step-by-step development of the corresponding model.

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Development of Public Diplomacy Crisis Communication Model and Its Application (공공외교 위기커뮤니케이션 모델의 개발과 적용)

  • Jangyul Kim
    • Journal of Public Diplomacy
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    • v.3 no.2
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    • pp.1-34
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    • 2023
  • This study finds that the South Korean government's public diplomacy efforts have focused on promotional activities such as the "K-wave" or responses to controversial historical issues. However, the South Korean government needs to be more prepared for strategic responses to unexpected crises and subsequent communications. This paper attempts to apply crisis communication research developed in the field of public relations to public diplomacy. To do so, this research reviewed theories in crisis communication, an essential area of public relations, and developed a crisis communication model. The model was then applied to several crisis case studies to suggest how to develop response strategies and conduct communications. As a result, this research developed an Ongoing Public Diplomacy Crisis Communication Model (PDCCM) that can be applied to public diplomacy research and practice. The model identifies four crisis communication principles (be quick, be open, be consistent, be authentic) that should be applied in six phases. Following continuous social listening and monitoring, governments should analyze crisis situations using sense-making, develop short- and long-term crisis response objectives, response strategies, and communication messages depending on the level of responsibility, implement crisis communication, and conduct post-crisis evaluation.

Online Multi-view Range Image Registration using Geometric and Photometric Features (3차원 기하정보 및 특징점 추적을 이용한 다시점 거리영상의 온라인 정합)

  • Baek, Jae-Won;Park, Soon-Yong
    • 한국HCI학회:학술대회논문집
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    • 2007.02a
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    • pp.1000-1005
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    • 2007
  • 본 논문에서는 실물체의 3차원 모델을 복원하기 위해 거리영상 카메라에서 획득된 3차원 점군에 대한 온라인 정합 기법을 제안한다. 제안하는 방법은 거리영상 카메라를 사용하여 연속된 거리영상과 사진영상을 획득하고 문턱값(threshold)을 이용하여 물체와 배경에 대한 정보를 분류한다. 거리영상에서 특징점을 선택하고 특징점에 해당하는 거리영상의 3차원 점군을 이용하여 투영 기반 정합을 실시한다. 초기정합이 종료되면 사진영상간의 대응점을 추적하여 거리영상을 정제하는 과정을 거치는데 대응점 추적에 사용되는 KLT(Kanade-Lucas-Tomasi) 추적기를 수정하여 초기정합의 결과를 대응점 탐색에 이용함으로써 탐색의 속도와 성공률을 증가시켰다. 특징점과 추적된 대응점에 해당하는 3차원 점군을 이용하여 거리영상의 정제를 수행하고 정합이 완료되면 오프라인에서 3차원 모델을 합성하였다. 제안한 알고리듬을 적용하여 2개의 실물체에 대하여 실험을 수행하고 3차원 모델을 생성하였다.

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A Study on HSTPA Model for Improvement of Emergency Response Training for Ships (선박의 비상대응훈련 개선을 위한 HSTPA 모델에 관한 연구)

  • Han, Ki-Young;Jung, Jin-ki;Ahn, Young-Joong
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.25 no.4
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    • pp.441-447
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    • 2019
  • Since emergency response training for maritime safety and safety education of maritime education institutions are conducted based on the set scenarios and education contents, there are limitations in the reduction of human error and response to various situations. Although there is a need for improvement, there is no way to improve response capabilities by assessing existing education training and securing diversity in situations. This study proposes a theoretical procedure analyzer method to model the diversity of situations for the improvement of emergency response training. This paper defines the human and system theoretical procedure analysis model (HSTPA) based on the organic relationship of the source and system. The limitations of the existing training were derived by analyzing the errors that each component could produce and applying them to the fire response training scenarios requiring vertical reporting systems and responses. The segmentation and inspection of training scenario considerations applying the proposed HSTPA model is believed to help create diverse and realistic scenarios in emergency response training and education, and improve the situation judgment understanding and response capabilities of the subjects.