• Title/Summary/Keyword: 클라우드 컴퓨팅 정책

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Analysis of Regulations and Legal Systems for Making Better Use of Administrative Information (행정정보의 효율적인 활용을 위한 법.규제 분석)

  • Kim, Taisiya;Kim, Bo-Ra-Mi;Lee, Bong-Gyou
    • The Journal of Society for e-Business Studies
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    • v.16 no.3
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    • pp.211-224
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    • 2011
  • Since appearance of smart devices and cloud computing services, the social and economical values of administrative information have been magnified as valuable information. In order to make better use of various administrative information by diverse government organizations efficiently and effectively, information sharing based on legal systems is essential because of several obstacles including privacy. To suggest practical ways for using administrative information, this study categorized the administrative information sharing process, and analyzed the regulations and legal systems that are contradictory to the regulations. The result of analysis appears that there is a need of legislative base for well-defined business use of information, and a need of the organizations, that available to collect and manufacture the information. The results of this study can be expected to make legislation contributions not only for industries, but also by suggesting the policy making and guidelines to protect privacy and improve the quality of citizens' life.

Research on Software Classification System based on an Integrated Software Industry (융합소프트웨어산업에 따른 소프트웨어 분류체계에 관한 연구)

  • Yang, Hyo-Sik;Jeon, In-Oh
    • Journal of Digital Convergence
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    • v.11 no.4
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    • pp.91-99
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    • 2013
  • While there is the active integration of various industries, a convergence of the software and knowledge service industries including software used in finance and counseling products is creating the necessity to include software industry utilization sectors aside from covering only software products and service production activities. Furthermore, to cope with the radical environment changes in the software industry when it comes to categorizing mobile and cloud computing areas into a software and classification system, we are at a point where there is a need to establish a directional nature on what should be included. In order to establish an integrated classification of newly introduced technologies, products and services, this paper aims to discover areas not included in the classification standard because of the ecological characteristics of the software. It also wants to differentiate the classification system and identify its incomplete areas such as the lack of connections within the system to ultimately establish such for newly surfacing software fields.

Design and Implementation of a Hadoop-based Efficient Security Log Analysis System (하둡 기반의 효율적인 보안로그 분석시스템 설계 및 구현)

  • Ahn, Kwang-Min;Lee, Jong-Yoon;Yang, Dong-Min;Lee, Bong-Hwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.8
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    • pp.1797-1804
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    • 2015
  • Integrated log management system can help to predict the risk of security and contributes to improve the security level of the organization, and leads to prepare an appropriate security policy. In this paper, we have designed and implemented a Hadoop-based log analysis system by using distributed database model which can store large amount of data and reduce analysis time by automating log collecting procedure. In the proposed system, we use the HBase in order to store a large amount of data efficiently in the scale-out fashion and propose an easy data storing scheme for analysing data using a Hadoop-based normal expression, which results in improving data processing speed compared to the existing system.

Knowledge Creation Structure of Big Data Research Domain (빅데이터 연구영역의 지식창출 구조)

  • Namn, Su-Hyeon
    • Journal of Digital Convergence
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    • v.13 no.9
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    • pp.129-136
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    • 2015
  • We investigate the underlying structure of big data research domain, which is diversified and complicated using bottom-up approach. For that purpose, we derive a set of articles by searching "big data" through the Korea Citation Index System provided by National Research Foundation of Korea. With some preprocessing on the author-provided keywords, we analyze bibliometric data such as author-provided keywords, publication year, author, and journal characteristics. From the analysis, we both identify major sub-domains of big data research area and discover the hidden issues which made big data complex. Major keywords identified include SOCIAL NETWORK ANALYSIS, HADOOP, MAPREDUCE, PERSONAL INFORMATION POLICY/PROTECTION/PRIVATE INFORMATION, CLOUD COMPUTING, VISUALIZATION, and DATA MINING. We finally suggest missing research themes to make big data a sustainable management innovation and convergence medium.

Technology Trends, Research and Design of AIM Framework for Authentication Information Management (인증 정보 관리를 위한 기술 동향과 AIM 프레임워크 연구 및 설계)

  • Kim, Hyun-Joong;Cha, Byung-Rae;Pan, Sung-Bum
    • Journal of Digital Convergence
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    • v.14 no.7
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    • pp.373-383
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    • 2016
  • With mobile-epoch and emerging of Fin-tech, Bio-recognition technology utilizing bio-information in secure method has spread. Specially, In order to change convenient payment services and transportation cards, the combination of biometrics and mobile services are being expanded. The basic concept of authentication such as access control, IA&A, OpenID, OAuth 1.0a, SSO, and Biometrics techniques are investigated, and the protocol stack for security API platform, FIDO, SCIM, OAuth 2.0, JSON Identity Suite, Keystone of OpenStack, Cloud-based SSO, and AIM Agent are described detailed in aspect of application of AIM. The authentication technology in domestic and foreign will accelerate technology development and research of standardization centered in the federated FIDO Universal Authentication Framework(UAF) and Universal 2 Factor Framework(U2F). To accommodate the changing needs of the social computing paradigm recently in this paper, the trends of various authentication technology, and design and function of AIM framework was defined.

A Study on the Improvement of Smart Work Satisfaction and Productivity (스마트워크를 통한 직원 만족도와 업무 생산성 증대에 관한 연구 : 홈오피스 환경에서)

  • Lee, Dae Hyung;Cho, Seung Yeon;Kim, Hee-Woong
    • Informatization Policy
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    • v.21 no.2
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    • pp.24-48
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    • 2014
  • Smart working, along with the spread of smart device use, has recently garnered increased interest. The issue has become focused on low labor productivity over working time, work-life balance and social discussion. There has also been a shift in working styles due to the development of mobile, security, and cloud computing-related IT technology support and activation of the smart work environment. However, former research show concern that smart working may not meet the initially expected levels of productivity. This empirical study was carried out to introduce the impact of teleworking on increased productivity and satisfaction in companies and public institutions through user interviews, a socio-technical systems approach and surveys. To summarize the results of this study, 'Telework satisfaction' is directly influenced by 'Work-life balance', 'Telework-system fit, and 'Telework-job fit'. Direct impact factors of 'Telework productivity'are 'Telework-job fit', 'Telework satisfaction', and 'Telework environment quality'.

A Study on the Collaboration between Government Departments in the Fourth Industrial Revolution Era (4차산업혁명시대의 정부부처 간 협력에 관한 연구)

  • Lee, Sun Young;Cho, Kyung Ho;Park, Kwang Kook
    • Journal of Digital Convergence
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    • v.17 no.6
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    • pp.35-42
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    • 2019
  • This study was conducted to identify the determing factors of the success and constraints based on the perception of public officials preparing for the Fourth Industrial Revolution(4IR) and the collaboration among ministries. The analytic method performed an average value analysis based on the survey of public officials' awareness, and the results of the study are as follows. First, officials from nine ministries who are responsible for the 4IR recognized that they were regarded that the 4IR as a new opportunity, but if it failed to respond properly, there might be a crisis. Second, it recognizes the era of 4IR as the number one priority in big data, second in artificial intelligence and machine learning, and third in cloud computing technology. Third, they recognized that 'flexibility of the institutions' and 'recruitment of experts' were needed to prepare for the 4IR effectively.

Reference Model for the Service of Smart City Platform through Case Study (사례 연구를 통한 스마트 시티 플랫폼의 서비스를 위한 참조 모델)

  • Kim, Young Soo;Mun, Hyung-Jin
    • Journal of Digital Convergence
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    • v.19 no.8
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    • pp.241-247
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    • 2021
  • As a way to solve the side effects of urban development, a smart city with information and communication technology converges in the city is being built. For this, a smart city platform should support the development and integration of smart city services. Therefore, the underlying technology and the functional and non-functional requirements that the smart platform must support were analyzed. As a result of this, we classified the Internet of Things, cloud computing, big data and cyber-physical systems into four categories as the underlying technologies supported by the smart city platform, and derived the functional and non-functional requirements that can be implemented and the reference model of the smart city platform. The reference model of the smart city platform is used for decision-making on investment in infrastructure technology and the development scope of services according to functional or non-functional requirements to solve specific city problems for city managers. It provides platform developers with guidelines to identify and determine the functional and non-functional requirements and implementation technologies of software platforms for building smart cities.

Smart Livestock Research and Technology Trend Analysis based on Intelligent Information Technology to improve Livestock Productivity and Livestock Environment (축산물 생산성 향상 및 축산 환경 개선을 위한 지능정보기술 기반 스마트 축사 연구 및 기술 동향 분석)

  • Kim, Cheol-Rim;Kim, Seungchoen
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.4
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    • pp.133-139
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    • 2022
  • Recently, livestock farms in Korea are introducing data-based technologies to improve productivity, such as livestock environment and breeding management, safe livestock production, and animal welfare. In addition, the government has been conducting a smart livestock distribution project since 2017 through the modernization of ICT-based livestock facilities in order to improve the productivity of livestock products and improve the livestock environment as a policy. However, the current smart livestock house has limitations in connection, diversity, and integration between monitoring and control. Therefore, in order to intelligently systemize all processes of livestock with intelligent algorithms and remote control in order to link and integrate various monitoring and control, the Internet of Things, big data, artificial intelligence, cloud computing, and mobile It is necessary to develop a smart livestock system. In this study, domestic and foreign research trends related to smart livestock based on intelligent information technology were introduced and the limitations of domestic application of advanced technologies were analyzed. Finally, future intelligent information technology applicable to the livestock field was examined.

Research on the Zero Trust Trend Analysis and Enterprise Security Enhancement (제로트러스트 동향 분석 및 기업 보안 강화 연구)

  • Min Gyu Kim;Chanyoung Kang;Sokjoon Lee
    • Smart Media Journal
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    • v.12 no.5
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    • pp.46-57
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    • 2023
  • As the COVID-19 pandemic and the development of IT technology have led to the gradual popularization of remote and telecommuting, cloud computing technology is advancing, and cyber attack techniques are becoming more sophisticated and advanced. In response to these trends, companies are increasingly moving away from traditional perimeter-based security and adopting Zero Trust to strengthen their security. Zero Trust, based on the core principle of doubting and not trusting everything, identifies all traffic and grants access permissions through a strict authentication process to enhance security. In this paper, we analyze the background of Zero Trust adoption and the adoption policies and trends of countries that are proactively promoting its implementation. Additionally, we propose necessary efforts from governments and organizations to strengthen corporate security and considerations for companies when applying Zero Trust.