• Title/Summary/Keyword: 인지취약모델

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A Study on Secure Model based Virtualization for Web Application Security (웹 어플리케이션 보안을 위한 가상화 기반 보안 모델)

  • Yang, Hwan Seok;Yoo, Seung Jae
    • Convergence Security Journal
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    • v.14 no.4
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    • pp.27-32
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    • 2014
  • Utilization of web application has been widely spread and complication in recent years by the rapid development of network technologies and changes in the computing environment. The attack being target of this is increasing and the means is diverse and intelligent while these web applications are using to a lot of important services. In this paper, we proposed security model using virtualization technology to prevent attacks using vulnerabilities of web application. The request information for query in a database server also can be recognized by conveying to the virtual web server after ID is given to created session by the client request and the type of the query is analyzed in this request. VM-Master module is constructed in order to monitor traffic between the virtual web servers and prevent the waste of resources of Host OS. The performance of attack detection and resource utilization of the proposed method is experimentally confirmed.

Analysis of Security Problems of Deep Learning Technology (딥러닝 기술이 가지는 보안 문제점에 대한 분석)

  • Choi, Hee-Sik;Cho, Yang-Hyun
    • Journal of the Korea Convergence Society
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    • v.10 no.5
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    • pp.9-16
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    • 2019
  • In this paper, it will analyze security problems, so technology's potential can apply to business security area. First, in order to deep learning do security tasks sufficiently in the business area, deep learning requires repetitive learning with large amounts of data. In this paper, to acquire learning ability to do stable business tasks, it must detect abnormal IP packets and attack such as normal software with malicious code. Therefore, this paper will analyze whether deep learning has the cognitive ability to detect various attack. In this paper, to deep learning to reach the system and reliably execute the business model which has problem, this paper will develop deep learning technology which is equipped with security engine to analyze new IP about Session and do log analysis and solve the problem of mathematical role which can extract abnormal data and distinguish infringement of system data. Then it will apply to business model to drop the vulnerability and improve the business performance.

A Study on Developing Framework for Measuring of Security Risk Appetite (보안 위험성향 측정을 위한 프레임워크 개발에 관한 연구)

  • Gim, Gisam;Park, Jinsang;Kim, Jungduk
    • Journal of Digital Convergence
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    • v.17 no.1
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    • pp.141-148
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    • 2019
  • The advancement of digital technology accelerates intelligence, convergence, and demands better change beyond traditional methods in all aspects of business models and technologies, infrastructure, processes, and platforms. Risk management is becoming more important because of various security risks, depending on the changing business environment and aligned to business goals is emerging from the existing information asset based risk management. For business aligned risk management, it is essential to understand the risk appetite for achieving business goals, which provides a basis for decision-making in subsequent risk management processes. In this paper, we propose a framework for analyzing the risk management framework, pre - existing risk analysis, and protection motivation theory that influences decisions on security risk management. To examine the practical feasibility of the developed risk appetite framework, we reviewed the applicability and significance of the proposed risk appetite framework through an advisory committee composed of security risk management specialists.

창업보육센터 입주기업 마케팅 활성화 방안 연구

  • Jang, Seok-Ju;Yun, U-Gyu;Mun, Yeong-Sin
    • 한국벤처창업학회:학술대회논문집
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    • 2008.04a
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    • pp.253-301
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    • 2008
  • 본연구는 우리나라의 창업보육센터가 태동기, 양적 기반 확충기를 거쳐 이제 질적인 성장을 고려해야 할 성숙기의 단계에 접어들고 있는 시점에서 중소 벤처기업의 가장 어려운 난관인 Marketing 취약점을 제도적으로 지원함으로써 BI 입주기업의 성공을 도와 지역경제를 회생시키고 나아가 국가경제의 부흥을 도모할 필요가 있어 BI입주기업들을 대상으로 설문조사하여 분석 하였으며, 그 결과를 토대로 해결방안을 모색하였다. 조사 분석 결과 BI입주기업은 기술력과 사업성은 우수하나, 대외 인지도 및 마케팅능력 부족 등으로 매출신장은 미흡한 실정이고, 일부 BI 입주업체를 위한 마케팅 교육, 전시회 참가 및 홈페이지 제작 등을 지원하고 있으나, 그 성과는 극히 미홉하며, 기존 중소기업을 위한 판로지원 시책은 그 지원규모가 영세하고 또한, 기업의 성장단계 면에서 볼 때 초기 단계에 있는 BI입주기업이 이들 시책을 활용하기에는 애로가 있다. 경영자원의 부족에 따른 판매성과 미흡, 이에 따른 신규 경영자원 확보 실패와 계속적 판매 부진의 악순환을 탈피하기 어려울 것으로 판단되어진다. 이에 해결방안으로는 BI 입주기업에 대한 마케팅 지원을 활성화하기 위해서는 BI 입주기업만을 대상으로 하는 사업과 예산의 확보가 절대 필요하며 이를 시행함에 있어서는 수요자인 BI 입주기업이 필요로하는 서비스에 최우선을 두면서 소요 예산을 감안하는 것이 필요하다. 지원대상에 있어서는 BI 입주기업 전체를 지원하는 것은 예상되는 사업 비용상 불가능하며 차등적 지원을 통해 성공모델을 육성하는 것이 필요하리라고 전망된다.

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A Study on the Cognition Tendency of Disorder·Social Integration according to the Vulnerability of Fear of Crime - With a focus on the young women's group - (범죄두려움 취약도에 따른 무질서 및 사회통제 인지 경향에 관한 연구 - 청년층 여성을 중심으로 -)

  • Kang, So-Yeon;Ha, Mikyoung;Byun, Gidong
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.36 no.4
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    • pp.31-39
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    • 2020
  • The purpose of this study is to identify the relationship between general fear of crime and specific fear of crime. Also, it is to suggest the way of analyzing fear of crime by summing up the two concepts. This study finds a reason why fear of crime varies from person to person within the same sex and similar age group. In particular, this study intends to analyze the models that affect fear of crime to figure out which is relevant to those in the high-risk group. And with the results, we can devise measurements to effectively reduce fear of crime in a local community. The following facts have been found in this study: positive correlation between general fear of crime and specific fear of crime, method of subdividing group with fear of crime, models that affect fear of crime and sub-items that greatly relate to high-risk groups.

Utilization and Excavation Practices of Fire-Fighting Vulnerable Zone Model (소방취약지 모델의 활용 및 적용사례 발굴)

  • Choi, Gap Yong;Chang, Eun Mi;Kim, Seong Gon;Cho, Kwang-Hyun
    • Spatial Information Research
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    • v.22 no.3
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    • pp.79-87
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    • 2014
  • In order to foster rapid disaster response and public life protection, National Emergency Management Agency has been trying to spread 'Emergency Rescue Standard System' on a national scale since 2006. The agency has also intensified management of firefighter's safety on disaster site by implementing danger predication training, specialized training and education and safety procedure check as a part of safety management officer duties. Nevertheless, there are limitations for effective fire fighting steps, such as damage spreading and life damage due to unawareness of illegal converted structure, structure transformation by high temperature and nearby hazardous material storage as well as extemporary situation handling endangered firefighter's life. In order to eliminate these limitations there is a need for an effort and technology application to minimize human errors such as inaccurate situational awareness, wrong decision built on experience and judgment of field commander and firefighters. The purpose of this study is to propose a new disaster response model which is applied with geospatial information. we executed spatial contextual awareness map analysis using fire-fighting vulnerable zone model to propose the new disaster response model and also examined a case study for Dalseo-gu in Daegu Metropolitan City. Finally, we also suggested operational concept of new proposed model on a national scale.

Fire Detection using Deep Convolutional Neural Networks for Assisting People with Visual Impairments in an Emergency Situation (시각 장애인을 위한 영상 기반 심층 합성곱 신경망을 이용한 화재 감지기)

  • Kong, Borasy;Won, Insu;Kwon, Jangwoo
    • 재활복지
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    • v.21 no.3
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    • pp.129-146
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    • 2017
  • In an event of an emergency, such as fire in a building, visually impaired and blind people are prone to exposed to a level of danger that is greater than that of normal people, for they cannot be aware of it quickly. Current fire detection methods such as smoke detector is very slow and unreliable because it usually uses chemical sensor based technology to detect fire particles. But by using vision sensor instead, fire can be proven to be detected much faster as we show in our experiments. Previous studies have applied various image processing and machine learning techniques to detect fire, but they usually don't work very well because these techniques require hand-crafted features that do not generalize well to various scenarios. But with the help of recent advancement in the field of deep learning, this research can be conducted to help solve this problem by using deep learning-based object detector that can detect fire using images from security camera. Deep learning based approach can learn features automatically so they can usually generalize well to various scenes. In order to ensure maximum capacity, we applied the latest technologies in the field of computer vision such as YOLO detector in order to solve this task. Considering the trade-off between recall vs. complexity, we introduced two convolutional neural networks with slightly different model's complexity to detect fire at different recall rate. Both models can detect fire at 99% average precision, but one model has 76% recall at 30 FPS while another has 61% recall at 50 FPS. We also compare our model memory consumption with each other and show our models robustness by testing on various real-world scenarios.

Development of Smart Mining Technology Level Diagnostics and Assessment Model for Mining Sites (광산 현장의 스마트 마이닝 기술 수준 진단평가 모델 개발)

  • Park, Sebeom;Choi, Yosoon
    • Tunnel and Underground Space
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    • v.32 no.1
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    • pp.78-92
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    • 2022
  • In this study, we proposed a diagnostics and assessment model for mining sites that can evaluate the smart mining technology level in a systematic and structured way. For this, the maturity of the smart mining was defined, and detailed assessment items of the diagnostics and assessment model for smart mining were derived by considering the smart factory diagnostics and assessment model (KS X 9001-3) used in the manufacturing industry. While maintaining the existing system, the existing 46 detailed assessment items were modified to be suitable for mining. As a result, a total of 29 detailed assessment items were derived in the areas of promotion strategy, process, information system and automation, and performance. Based on this, a questionnaire was designed to diagnose the level of smart mining technology, and assessment was performed by applying it to domestic iron mines. The level of smart mining technology in the study area was found to be level 2, and it could be inferred that it was about 40% lower than the average smart level of the general manufacturing industry. In addition, by using the developed model, it was possible to recognize the weak points of the mine at each stage of the introduction, operation, and advancement of smart mining, and to suggest investment and improvement directions.

Food Safety and Nutrition Education Program for Elderly and Assessment of Program Effectiveness Based on Health Belief Model (건강신념모델에 근거한 노인 대상 식품안전·영양교육 프로그램 효과 평가)

  • Choi, Jung-Hwa;Lee, Eun-Sil;Lee, Yoon-Jin;Lee, Hye-Sang;Chang, Hye-Ja;Lee, Kyung-Eun;Yi, Na-Young;Ahn, Yoon;Kwak, Tong-Kyung
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.45 no.9
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    • pp.1366-1374
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    • 2016
  • Most elderly have difficulties in managing food safety and nutrition by themselves. Various nutrition educations for the elderly have been developed, but food safety and nutrition education program and educational tools for the elderly are very limited. The aim of the study was to evaluate a food safety and nutrition education program based on the Health Belief Model (HBM) for the elderly. Education program was implemented for 220 seniors (137 educated group and 83 control group) aged over 65 years at senior welfare community centers. The intervention study was carried out on a weekly basis during each of 5 weeks, and each session lasted about 35 or 40 minutes. The effectiveness of the program was assessed with a questionnaire before and after education. Education program consisted of a 5 week program, and topics were 'Dietary changes for the elderly's healthy life', 'Prevention of food poisoning in everyday life', 'Safe food handling for my health', 'Healthy dietary life to prevent chronic disease', and 'Safety! nutrition! healthy dietary life'. Education program materials such as slides, handouts, videos, leaflet, and booklets were developed. As a result, there were score improvements in knowledge, dietary behaviors, and health belief after intervention in the intervention group, which were higher than those of the control group. In particular, there was a meaningful interrelation between dietary behavior and health belief (r=0.520, P<0.001). This finding suggests that changing beliefs is very important to make desirable dietary behavioral changes. For this reason, we can conclude HBM theory is an effective model to educate nutrition and food safety for the elderly. Furthermore, food safety and nutrition education programs are implemented and delivered continuously at various settings such as a health center or community welfare center, and those will contribute significantly to enhance perception and change their desirable dietary behaviors for the elderly.

A Study on Evaluating the Fire Safety of the Regulation of Escape and Fire-Prevention from Enacting to Now - Focusing on the Hotel Building - (우리나라 피난방화규정의 제.개정시기별 화재안전성능 평가 - 호텔건물을 중심으로 -)

  • Lee, Se-Myong;Yoon, Myong-O
    • Fire Science and Engineering
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    • v.25 no.3
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    • pp.28-41
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    • 2011
  • Regulation of Escape and fire-prevention of Building of South Korea were enacted as a part of building codes in 1962. Since it was enacted, the law has gone through many changes. In this study, evaluated the fire safety of the law about the case of a hotel that the fire risk are expected to be higher whenever it was changed. As a result, the current law has gotten better in tire safety since it was enacted. However, especially it could be confirmed that the evacuation safety is insufficient in the lower level of hotel building. In the case of accommodation, because the occupants become aware of fire lately, they have not enough time to escape. Therefore, this study suggests that it is needed to come up with an effective counterplan about the interior finish materials, fire door and fire compartments that the smoke layer descending time is longer.