• Title/Summary/Keyword: 산업융합보안

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Business model correlation analysis according to the technology maturity of the information security industry (정보보호 산업의 기술성숙도에 따른 비즈니스 모델 상관성 분석)

  • Lim, Heon-Wook
    • Convergence Security Journal
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    • v.19 no.4
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    • pp.165-171
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    • 2019
  • The domestic information security market is booming, For the development of the information security industry. I wanted to suggest a strategy for finding and developing a good business model. So the main products were classified by similar industries. And The sector was selected as the dependent variable. Expert interviews were conducted and classified according to technical maturity. Independent variables were sales, number of employees, and performance. Average analysis result, sales amounted to 8.798 billion won, 13.51 years in industry, and 64.3 employees. As a result of SPSS statistical analysis, the correlation between industry type and sales according to technical maturity (r = -.729) was within 5% of significance level. The regression results were significant. (p= .047<0.05) Therefore, industry classification and sales are related to technological maturity.

A Study on Exploring Factors Influencing Military Security Level (Based on the Theory of Planned Behavior, Deterrence and Protection Motivation) (군(軍) 보안수준에 미치는 영향요인 탐색에 관한 연구 (계획 행동이론, 억제이론, 보호 동기 이론을 중심으로))

  • Jong-Hyoun Kim;Sang-Jun Ahn
    • Convergence Security Journal
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    • v.22 no.4
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    • pp.3-9
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    • 2022
  • Recently, as the environment of the 4th industrial revolution has arrived, the opening, sharing and convergence of data are actively being achieved in any organization. However, the opening and sharing of data inevitably leads to security vulnerability and there is ambivalence that is a threat that can affect the existence of an organization operated in the 4th industrial revolution environment. Especially security issues in the organization of the military can be a threat to the state, not the military itself, so it is always necessary to maintain a high level of security discipline. In this paper, 14 variables were selected through structural equation model applying theory of planned behavior, deterrence and protection motivation to find out the security level development measures by extracting factors that can affect security level. As a result, the theory of planned behavior that the security knowledge embodied through the usual security regulation education and evaluation affects the behavior was adopted, and the theory of deterrence and protection motivation showed the significance of the rejection level. In addition, it was confirmed that the variables that have the greatest impact on the military security level through the measured values of the three-year security audit were commanders and mental security. In conclusion, in order to improve the security level, it is suggested that security education, definite reward and punishment, and security system upgrading should be firmly established and mental security posture should be secured.

Highly reliable distributed OT system security mechanism (고신뢰 분산 운영기술 시스템 보안 메커니즘)

  • Jung-Hyun Moon;Il-Gu Lee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2024.05a
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    • pp.471-474
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    • 2024
  • 중앙 집중형 OT 시스템은 여러 센서와 장비에서 수집된 데이터가 중앙 서버로 전송되며 처리된다. 이러한 중앙 집중 방식은 모니터링, 의사결정, 제어 등의 데이터 관리를 효율적으로 처리할 수 있지만 구조적으로 데이터 처리가 중앙 시스템에 집중되는 문제가 있다. 그리고 대규모의 산업 데이터가 서버로 전송되기 때문에, 데이터 전송과 활용 과정의 데이터 프라이버시 문제가 존재한다. 그리고 중앙 집중 방식 시스템의 단일 장애 취약점에 의한 데이터 유출이나 시스템 장애로 이어질 수 있다. 이러한 문제를 해결하기 위해 본 연구에서는 고신뢰 분산 OT 보안 메커니즘을 제안한다. 실험 결과에 따르면 제안한 메커니즘은 전체적인 시스템의 구조를 강화하면서 99%의 위험상황 분류 정확도를 보였다.

The impact of security and privacy risk on smart car safety and trust (보안과 프라이버시 위험이 스마트카 안전과 신뢰에 미치는 영향)

  • Soonbeom Kwon;Hwansoo Lee
    • Convergence Security Journal
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    • v.23 no.5
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    • pp.9-19
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    • 2023
  • Smart cars, which incorporate information and communication technologies (ICT) to improve driving safety and convenience for drivers, have recently emerged. However, the increasing risk of automotive cybersecurity due to the vulnerability of electronic control units (ECUs) and automotive networks, which are essential for realizing the autonomous driving functions of smart cars, is a major obstacle to the widespread adoption of smart cars. Although there have been only a few real-world cases of smart car hacking, drivers' concerns about the security of smart cars can have a negative impact on their proliferation. Therefore, it is important to understand the risk factors perceived by drivers and the trust in smart cars formed through them in order to promote the future diffusion of smart cars. This study examines the risk factors that affect the formation of trust in smart cars, focusing on security and privacy, and analyzes how these factors affect safety perceptions and trust in smart cars.

A Study on the Perception of Data 3 Act through Big Data Analysis (빅데이터 분석을 통한 데이터 3법 인식에 관한 연구)

  • Oh, Jungjoo;Lee, Hwansoo
    • Convergence Security Journal
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    • v.21 no.2
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    • pp.19-28
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    • 2021
  • Korea is promoting a digital new deal policy for the digital transformation and innovation accelerating of the industry. However, because of the strict existing data-related laws, there are still restrictions on the industry's use of data for the digital new deal policy. In order to solve this issue, a revised bill of the Data 3 Act has been proposed, but there is still insufficient discussion on how it will actually affect the activation of data use in the industry. Therefore, this study aims to analyze the perception of public opinion on the Data 3 Act and the implications of the revision of the Data 3 Act. To this end, the revision of the Data 3 Act and related research trends were analyzed, and the perception of the Data 3 Act was analyzed using a big data analysis technique. According to the analysis results, while promoting the vitalization of the data industry in line with the purpose of the revision, the Data 3 Act has a concern that it focuses on specific industries. The results of this study are meaningful in providing implications for future improvement plans by analyzing online perceptions of the industrial impact of the Data 3 Act in the early stages of implementation through big data analysis.

Discussion on Renaming of the Act for Development of Security Industry : Amendment of Security Business Act (보안산업 육성을 위한 법률 제명 개정에 관한 논의 : 「경비업법」의 개정)

  • Kim, Tae Min;Shin, Sang Min
    • Convergence Security Journal
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    • v.16 no.1
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    • pp.3-12
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    • 2016
  • Developed countries have been taking their private security industry to the next advanced level to maintain safety of society, promote cooperative security in conjunction with public security such as the police, cultivate domestic security industry, and spur economic growth. In Korea, Service Security Business Act(currently, Security Business Act) enacted in 1976 laid groundwork for rapid institutional development. Nonetheless, the need to rename current title of Security Business Act has been discussed continuously among scholars and industry. Particularly, a bill(bill no.: 2389) was proposed in 2012 to rename 'Security Business Act' completely to 'Private Security Industry Act'. Under those circumstances, this study was intended to discuss proposals that had been made to rename the Act for underpinning development of security industry, along with its amendment, by gathering opinions from scholars in the field of security. It is undeniable that there is need for renaming the Act. As the renaming of the Act can have positive impact in many aspects for promotion of security industry, the urgency to rename the Act is indisputable. The results suggested that scholars specializing in security hoped the Security Business Act to be renamed primarily to Guard and Security Industry, and if not, to be renamed to Security Industry Act. The renaming of the Act will give rise to the need to amend many parts of provisions contained therein as follow-up action.

A Study on Construction of Optimal Wireless Sensor System for Enhancing Organization Security Level on Industry Convergence Environment (산업융합환경에서 조직의 보안성 향상을 위한 센싱시스템 구축 연구)

  • Na, Onechul;Lee, Hyojik;Sung, Soyoung;Chang, Hangbae
    • Journal of the Korea Convergence Society
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    • v.6 no.4
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    • pp.139-146
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    • 2015
  • WSN has been utilized in various directions from basic infrastructure of environment composition to business models including corporate inventory, production and distribution management. However, as energy organizations' private information, which should be protected safely, has been integrated with ICT such as WSN to be informatization, it is placed at potential risk of leaking out with ease. Accordingly, it is time to need secure sensor node deployment strategies for stable enterprise business. Establishment of fragmentary security enhancement strategies without considering energy organizations' security status has a great effect on energy organizations' business sustainability in the event of a security accident. However, most of the existing security level evaluation models for diagnosing energy organizations' security use technology-centered measurement methods, and there are very insufficient studies on managerial and environmental factors. Therefore, this study would like to diagnose energy organizations' security and to look into how to accordingly establish strategies for planning secure sensor node deployment strategies.

Topic Modeling to Identify Cloud Security Trends using news Data Before and After the COVID-19 Pandemic (뉴스 데이터 토픽 모델링을 활용한 COVID-19 대유행 전후의 클라우드 보안 동향 파악)

  • Soun U Lee;Jaewoo Lee
    • Convergence Security Journal
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    • v.22 no.2
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    • pp.67-75
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    • 2022
  • Due to the COVID-19 pandemic, many companies have introduced remote work. However, the introduction of remote work has increased attacks on companies to access sensitive information, and many companies have begun to use cloud services to respond to security threats. This study used LDA topic modeling techniques by collecting news data with the keyword 'cloud security' to analyze changes in domestic cloud security trends before and after the COVID-19 pandemic. Before the COVID-19 pandemic, interest in domestic cloud security was low, so representation or association could not be found in the extracted topics. However, it was analyzed that the introduction of cloud is necessary for high computing performance for AI, IoT, and blockchain, which are IT technologies that are currently being studied. On the other hand, looking at topics extracted after the COVID-19 pandemic, it was confirmed that interest in the cloud increased in Korea, and accordingly, interest in cloud security improved. Therefore, security measures should be established to prepare for the ever-increasing usage of cloud services.

Inter-Industries Convergence Strategies of Geospatial Information Industry based on Cloud Computing Technologies for Overseas Expansion (공간정보산업 해외진출을 위한 클라우드 컴퓨팅 기반 산업 간 융합 방안 연구)

  • Lim, Yong-Min;Lee, Jae-Yong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.6
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    • pp.3769-3777
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    • 2015
  • Overseas Expansion is essential to expand domestic geospatial industries in a state of saturation. But current overseas expansion method has be limited to expand global market. Inter-industries convergence strategies may be most resonable alternative to expand global market through raising expansion possibility to developing countries with ODA funds and to developed countries with converging global competitive industries. This research analyzed the industry to develop a suitable way fusion between these industries. As a result, easiness of convergence, confidentiality of information, complementarity of poor infrastructure, responsiveness of various demands and sustainability of system are needed to successful convergence on multiple industries. This convergence framework is consists of geospatial convergence common framework based on cloud computing, inter-industries convergence model and institutional supporting system for overseas expansion.

Development on Filtering Priority Algorithm for Security Signature Search (보안 시그니처 탐지를 위한 필터링 우선순위 알고리즘 구현)

  • Jun, Eun-A;Kim, Jeom-goo
    • Convergence Security Journal
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    • v.20 no.5
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    • pp.41-52
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    • 2020
  • This paper implements a priority algorithm for active response to security event risk, and implements an event scheduler that performs efficient event processing based on this. According to the standards that have global standards such as CVE and CVSS, standards for scoring when security events are executed are prepared and standardized so that priorities can be more objectively set. So, based on this, we build a security event database and use it to perform scheduling. In addition, by developing and applying the security event scheduling priority algorithm according to the situation of security events in Korea, it will contribute to securing the reliability of information protection and industrial development of domestic or ganizations and companies.