• Title/Summary/Keyword: Security environment

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McDoT: Multi-Channel Domain Tracking Technology for Illegal Domains Collection

  • Cho, Ho-Mook;Lee, JeongYoung;Jang, JaeHoon;Choi, Sang-Yong
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.12
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    • pp.127-134
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    • 2020
  • Recently, Harmful sites, including pornographic videos, drugs, personal information and hacking tool distribution sites, have caused serious social problems. However, due to the nature of the Internet environment where anyone can use it freely, it is difficult to control the user effectively. And the site operator operates by changing the domain to bypass the blockage. Therefore, even once identified sites have low persistence. In this paper, we propose multi-channel domain tracking technology, a technique that can effectively track changes in the domain addresses of harmful sites, including the same or similar content, by tracking changes in these harmful sites. Proposed technology is a technology that can continuously track information in a domain using OSINT technology. We tested and verified that the proposed technology was effective for domain tracking with a 90.4% trace rate (sensing 66 changes out of 73 domains).

Network separation construction method using network virtualization (네트워크 가상화를 이용한 망 분리 구축 방법)

  • Hwang, Seong-Kyu
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.8
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    • pp.1071-1076
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    • 2020
  • The importance of network separation is due to the use of the Internet with existing business PCs, resulting in an internal information leakage event, and an environment configured to allow servers to access the Internet, which causes service failures with malicious code. In order to overcome this problem, it is necessary to use network virtualization to separate networks and network interconnection systems. Therefore, in this study, the construction area was constructed into the network area for the Internet and the server farm area for the virtualization system, and then classified and constructed into the security system area and the data link system area between networks. In order to prove the excellence of the proposed method, a network separation construction study using network virtualization was conducted based on the basis of VM Density's conservative estimates of program loads and LOBs.

Development of AI-based Cognitive Production Technology for Digital Datadriven Agriculture, Livestock Farming, and Fisheries (디지털 데이터 중심의 AI기반 환경인지 생산기술 개발 방향)

  • Kim, S.H.
    • Electronics and Telecommunications Trends
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    • v.36 no.1
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    • pp.54-63
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    • 2021
  • Since the recent COVID-19 pandemic, countries have been strengthening trade protection for their security, and the importance of securing strategic materials, such as food, is drawing attention. In addition to the cultural aspects, the global preference for food produced in Korea is increasing because of the Korean Wave. Thus, the Korean food industry can be developed into a high-value-added export food industry. Currently, Korea has a low self-sufficiency rate for foodstuffs apart from rice. Korea also suffers from problems arising from population decline, aging, rapid climate change, and various animal and plant diseases. It is necessary to develop technologies that can overcome the production structures highly dependent on the outside world of food and foster them into export-type system industries. The global agricultural industry-related technologies are actively being modified via data accumulation, e.g., environmental data, production information, and distribution and consumption information in climate and production facilities, and by actively expanding the introduction of the latest information and communication technologies such as big data and artificial intelligence. However, long-term research and investment should precede the field of living organisms. Compared to other industries, it is necessary to overcome poor production and labor environment investment efficiency in the food industry with respect to the production cost, equipment postmanagement, development tailored to the eye level of field workers, and service models suitable for production facilities of various sizes. This paper discusses the flow of domestic and international technologies that form the core issues of the site centered on the 4th Industrial Revolution in the field of agriculture, livestock, and fisheries. It also explains the environmental awareness production technologies centered on sustainable intelligence platforms that link climate change responses, optimization of energy costs, and mass production for unmanned production, distribution, and consumption using the unstructured data obtained based on detection and growth measurement data.

Analysis of Forwarding Schemes for Push-based Information Service in Connected Vehicles over NDN (커넥티드 차량 엔디엔 네트워크 안에 푸쉬 기반 정보 서비스를 위한 전달 기법 분석)

  • Lim, Huhnkuk
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.2
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    • pp.280-285
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    • 2021
  • When VNDN technology is used as a communication technology for infotainment application services of connected vehicles, it is possible to realize data-centric networking technology in which data is the subject of communication.Vehicle security attacks and hacks, performance degradation during long-distance data transmission, and frequent data loss It is possible to innovate the limitations of the current host-oriented Internet-based infotainment application service technology of connected vehicles. The data packet forwarding issue to deliver critical information data that is very sensitive to delay in the VNDN on a push-based basis to RSU (Road Side Unit), etc. is one of the issues to be solved for realizing VNDN-based application services. We comprehensively analyze existing forwarding techniques to support push-based data traffic under the environment, and compare and analyze each technique in terms of performance.

A Study on the Consumer Disputes and Protection Measures of the Digital Healthcare Market and O2O Service (디지털헬스케어 시장과 O2O서비스 소비자분쟁 및 보호방안)

  • Byeon, Seung Hyeok
    • Journal of Arbitration Studies
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    • v.30 no.4
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    • pp.121-138
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    • 2020
  • The O2O services in the healthcare sector have only been in full swing for about three years, and unlike existing O2O consumer goods, the scale and scope of the dispute are more complicated due to restrictions on medical treatment. In this study, O2O service platform operators and medical institutions' roles and responsibilities were redefined as a countermeasure for resolving disputes in healthcare O2O services and the laws for changing the transaction environment. A change in institutional mechanisms was proposed. This study looked at the types of consumer disputes related to healthcare O2O services as insufficient information problems, problems in the course of medical service implementation, problems with immunity provisions for platform operators, cancellations, and non-compliance with refunds. All the information generated during transactions in the healthcare sector was extensive in scale and included the most sensitive information among personal information, stressing the importance of ensuring security. The area that started in the O2O range before the medical institution visit also proposed a plan to establish a system for the delivery of proven information as a pre-medical person. The scale and growth will grow faster, given that consumers can experience the information they want anytime, anywhere they want. However, the platform broker's role, a link player, will become more important because consumers who use the service will have their first meeting with non-face-to-face product providers. On the other hand, service providers may have side effects of misleading consumers by providing false information or misleading consumers through exaggerated advertisements. The O2O service market is expected to expand beyond distribution and dining out to the entire industry. However, since it is challenging to check accurate statistics on the detailed market, various disputes and consumer protection measures will be required for each detailed market, and comprehensive leading solutions will be essential in the future.

Research on Safety Design of Residence Based on CPTED Strategy -focused on Gamcheon cultural village in Busan, Korea as an example- (CPTED 전략에 근거한 주거지역의 안전디자인에 관한 연구 -한국 부산 감천문화마을 사례를 중심으로-)

  • Zhang, Ning;Cho, Joung-Hyung
    • Journal of the Korea Convergence Society
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    • v.12 no.8
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    • pp.93-104
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    • 2021
  • In the process of the sustainable development of the world economy, the change and construction of urban living environment has always been the focus of people's attention. Therefore, the purpose of this study is to find out the potential safety hazards in residential areas, and put forward feasible improvement plans under the framework of CPTED theory.One is to collect the necessary literature. Secondly, according to the field investigation and questionnaire survey, sorting out the existing security risks. Finally, this paper puts forward the corresponding improvement and suggestion to this research. The conclusion is as follows: First, based on the six principles of CPTED theory, problems existing in Gamcheon Cultural Village, which is subject to research, were investigated. Second, six of the most serious safety issues (safety handle, landscaping, entrance control, signs, empty space, monitoring) were objectively analyzed, and designs were presented in terms of increasing safety stairs, installing automatic entrances, open access view, unifying signs, and building leisure areas.

Analysis of Factors Influencing the Satisfaction of Urban Regeneration New Deal Projects - Focusing on the Namhae-gun Urban Regeneration New Deal Project - (도시재생 뉴딜사업 만족도에 영향을 미치는 요인 분석 - 남해군 도시재생 뉴딜사업을 중심으로 -)

  • Jeong, Chi-Hun;Lee, So-Yeong;Joo, Hee-Sun
    • Journal of the Korean Institute of Rural Architecture
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    • v.23 no.4
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    • pp.30-37
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    • 2021
  • The way to check whether the urban regeneration project is going in the right direction is fundamental for understanding the satisfaction of local residents relevant to the project. This study aims to analyze the satisfaction of residents by selecting factors that affect the satisfaction of Namhae-gun residents with urban regeneration projects. Through this, after examining whether the project is being implemented well in accordance with the purpose of the urban regeneration new deal project, this study presents the direction of the Namhae-gun urban regeneration new deal project. In result, in the case of the resident group, satisfaction with security and landscape influenced satisfaction with the entire project. In addition, publicity for urban regeneration projects had the greatest impact on satisfaction, and other neighborhood reliability, urban regeneration-related education, and meetings had the greatest impact on satisfaction with the project. In the case of the merchant group, it was found that the satisfaction with the entire project increased when the satisfaction with the public relations. However, it was found that physical factors, that is, factors for improving the living environment, did not affect satisfaction with urban regeneration projects. The findings of this study, as local parts of Namhae-gun urban regeneration project progresses, can be further expanded to the holistic county level.

Object Recognition Using Convolutional Neural Network in military CCTV (합성곱 신경망을 활용한 군사용 CCTV 객체 인식)

  • Ahn, Jin Woo;Kim, Dohyung;Kim, Jaeoh
    • Journal of the Korea Society for Simulation
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    • v.31 no.2
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    • pp.11-20
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    • 2022
  • There is a critical need for AI assistance in guard operations of Army base perimeters, which is exacerbated by changes in the national defense and security environment such as force reduction. In addition, the possibility for human error inherent to perimeter guard operations attests to the need for an innovative revamp of current systems. The purpose of this study is to propose a real-time object detection AI tailored to military CCTV surveillance with three unique characteristics. First, training data suitable for situations in which relatively small objects must be recognized is used due to the characteristics of military CCTV. Second, we utilize a data augmentation algorithm suited for military context applied in the data preparation step. Third, a noise reduction algorithm is applied to account for military-specific situations, such as camouflaged targets and unfavorable weather conditions. The proposed system has been field-tested in a real-world setting, and its performance has been verified.

A Study on Improving Plan of the Evaluating System for Efficient Defense M&S Accreditation Work (효율적인 국방M&S 인정업무 수행을 위한 평가시스템 발전방안 연구)

  • Han, Seung-Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.4
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    • pp.42-48
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    • 2021
  • Recently, the defense industry has been improving high technology by developing convergence technology through the 4th industrial revolution. On the other hand, it is very difficult to guarantee the performance of high-tech weapon systems because the test for weapon systems has many risks and cannot perform in an actual operating environment. Therefore, M&S resources are needed to make sound weapon systems, but many people demand reliable M&S resources. Owing to the continuous demand and execution of the VV&A work, related rules have developed significantly, but tools and techniques for performing the work have not been developed. Hence, there are inefficient parts in the performance of work due to the absence of a systematic system. Accordingly, many risks may cause various safety accidents, such as security. This paper suggests a direction for the development of VV&A work procedures by improving efficiency and reducing risk.

2-Stage Detection and Classification Network for Kiosk User Analysis (디스플레이형 자판기 사용자 분석을 위한 이중 단계 검출 및 분류 망)

  • Seo, Ji-Won;Kim, Mi-Kyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.5
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    • pp.668-674
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    • 2022
  • Machine learning techniques using visual data have high usability in fields of industry and service such as scene recognition, fault detection, security and user analysis. Among these, user analysis through the videos from CCTV is one of the practical way of using vision data. Also, many studies about lightweight artificial neural network have been published to increase high usability for mobile and embedded environment so far. In this study, we propose the network combining the object detection and classification for mobile graphic processing unit. This network detects pedestrian and face, classifies age and gender from detected face. Proposed network is constructed based on MobileNet, YOLOv2 and skip connection. Both detection and classification models are trained individually and combined as 2-stage structure. Also, attention mechanism is used to improve detection and classification ability. Nvidia Jetson Nano is used to run and evaluate the proposed system.