• Convergence Security Journal
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• v.21 no.1
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• pp.169-175
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• 2021

In the era of the Fourth Industrial Revolution, where the concept of comprehensive security is applied, the most remarkable ICT is believed to be artificial intelligence (AI). Therefore, The purpose of this study is to explore the factors and to establish a development strategy for the development of national crisis management policies based on artificial intelligence (AI). To this end, Analyze the internal capabilities of the Korean government through SPRO analysis to derive strengths and weaknesses. And the external environment through PEST analysis to derive opportunities and threats. The various factors that have been derived through SWOT analysis to derive SWOT factors with consultation from experts who studied and worked for long-term information and communication technology (ICT), security and disaster areas. Focusing on these factors, the Korean government's development of national crisis management policies in the era of the Fourth Industrial Revolution. Focusing on these factors, the Korean government established strategies for the development of national crisis management policies and made policy suggestions during the Fourth Industrial Revolution.

• Convergence Security Journal
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• v.24 no.2
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• pp.3-8
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• 2024

Recently, in order to build a cyber threats have increased in number and complexity. These threats increase the risk of using personally owned devices for work. This research addresses how to utilize an AI-enabled breach analysis tool. To this end, we developed and proposed the feasibility of using an AI-based breach analysis tool that reduces the workload of analysts and improves analysis efficiency through automated analysis processes. This allows analysts to focus on more important tasks. The purpose of this research is to propose the development and utilization of an AI-based breach analysis tool. We propose a new research direction in the field of breach analysis and suggest that automated tools should be improved in performance, coverage, and ease of use to enable organizations to respond to cyberattacks more effectively. As a research method, we developed a breach analysis tool using A.I. technology and studied various use cases. We also evaluated the performance, coverage, and ease of use of automated tools, and conducted research on predicting and preventing breaches and automatically responding to them. As a result, this research will serve as a foundation for the development and utilization of AI-based breach analysis tools, which can be used to respond to cyberattacks more effectively through experiments.

• Convergence Security Journal
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• v.24 no.3
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• pp.33-39
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• 2024

The remarkable advancement of artificial intelligence technology is bringing innovative changes to the field of education. In particular, generative AI models like ChatGPT hold great potential in self-directed programming education due to their natural conversational abilities. This study analyzed the learning effects of using ChatGPT in Scratch classes for non-SW majors. Dividing the classes into those using ChatGPT and those not, and conducting the same evaluations and surveys for the ChatGPT-utilizing group, the results showed that ChatGPT significantly enhanced learning outcomes and the utility of ChatGPT was highly evaluated in advanced learning areas such as understanding Scratch's advanced features and algorithms. This study is significant as it empirically demonstrates the potential of generative AI like ChatGPT as an effective tool in programming education.

• Review of KIISC
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• v.33 no.4
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• pp.95-102
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• 2023

IMT-2030(6G)은 IMT-2020(5G)에 비교하여 많은 서비스와 기능들이 추가되고 있다. IMT-2030(6G) 요소기술 개발은 산업계에서 매우 빠르게 진행되고 있으며, 이러한 기술을 기반으로 표준개발이 ITU-R WP 5D, 3GPP 등 여러 기구에서 동시다발적으로 진행이 되고 있다. Open RAN은 시점으로는 5G 이후에 출현한 기술이지만 5G를 기반으로 실현이 가능함을 산업계에서는 보여주고 있다. 이러한 기술들을 구분 짓고 체계화 하는 것이 표준기구의 역할이라고 할 수 있다. ITU-R WP 5D 제44차 회의(2023년 6월)에서 이번 회기(2020-2023)를 종료하며 완성한 IMT Framework 문서의 내용을 기반으로 AI와 정보보호가 융합한 지능형 보안관제의 필요성, 구조와 기능에 대하여 살펴본다.

• Review of KIISC
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• v.34 no.1
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• pp.15-20
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• 2024

본 논문에서는 우주 사이버 환경에서 블록체인 기술의 적용 가능성과 전략을 탐구한다. 분산 원장 기술의 현황을 검토하고, 우주 사이버 보안의 현재 상황과 주요 도전 과제를 분석하여, 우주 환경과 사이버 보안의 상호작용을 이해한다. 이를 통해 블록체인 기술의 핵심 요소가 우주 환경에 어떻게 적합한지, 데이터 보안과 무결성을 어떻게 강화할 수 있는지, 그리고 통신 및 네트워크 관리에 블록체인을 어떻게 활용할 수 있는지를 기술 현황 분석을 통해 제시한다. 또한, 우주 사이버 환경에서 블록체인의 기술적 가능성과 현재 기술 수준의 한계를 분석하며, 경제적 및 운영적 측면에서의 타당성을 분석한다. 결론적으로 우주 사이버 환경에서의 블록체인 적용이 미칠 영향을 전망하고, 실제 사례 분석을 통해 실용적 적용 사례를 제시한다. 본 논문은 우주 사이버 환경에서 블록체인 기술의 잠재력을 평가하고, 미래의 발전 방향을 제시함으로써, 우주 사이버 보안 분야에 중요한 기여를 한다.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.827-832
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• 2024

The AI program Sora is a video production model that can be used innovatively and is the starting point of a major paradigm shift in video planning and production in the future. In this paper, through consideration of the characteristics, application, and process of the AI video production program, the characteristics of the AI design video production method were understood, and the production algorithm was considered. The detailed consideration and characteristics of the work creation process for the video graphic AI video generation program that will be intensified every year were examined. Next, the method of generating a customized video with a text prompt and the process of innovative production results different from the previous production method were considered. In addition, the design direction through the generation of AI images was studied through the review of the strengths and weaknesses of the image details of the recently announced AI music video results. By considering the security of the AI generation video Sora and looking at the internal process of the actual AI process, it will be possible to present indicators for the future direction of AI video model production and education along with the direction of the design designer and education system. In the text and conclusion, we analyzed the strengths and weaknesses and future status of OpenAI Sora image, concluded how to apply the Sora model's capabilities, limitations, quality, and human creativity, and presented problems and alternatives through examples of the Sora model's capabilities and limitations to increase human creativity.

• Proceedings of KOSOMES biannual meeting
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• 2005.11a
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• pp.53-58
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• 2005

An international study on Class B AIS for Non-SOLAS vessels is in progress through IMO and IEC. The IEC issued CDV(Committee Draft for Vote) on March 3, 2005, as IEC 62287, which includes operational and performance requirements, methods of test and required test results about Class B AIS. In this paper, we proposed the method of making Class B AIS properly onboard. This research deals with the problems of introducing Class B AIS which is properly applicable on small fishing vessels as well as domestic Non-SOLAS vessels. Moreover, several technical considerations were suggested to develop a national technical standards for Class B AIS.

• Journal of the Korea Institute of Military Science and Technology
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• v.27 no.2
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• pp.256-264
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• 2024

In the last 10 years, AI has made rapid progress, and image classification, in particular, are showing excellent performance based on deep learning. Nevertheless, due to the nature of deep learning represented by a black box, it is difficult to actually use it in critical decision-making situations such as national defense, autonomous driving, medical care, and finance due to the lack of explainability of judgement results. In order to overcome these limitations, in this study, a model description algorithm capable of local interpretation was applied to the inception network-derived AI to analyze what grounds they made when classifying national defense data. Specifically, we conduct a comparative analysis of explainability based on confidence values by performing LIME analysis from the Inception v2_resnet model and verify the similarity between human interpretations and LIME explanations. Furthermore, by comparing the LIME explanation results through the Top1 output results for Inception v3, Inception v2_resnet, and Xception models, we confirm the feasibility of comparing the efficiency and availability of deep learning networks using XAI.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.81-88
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• 2022

This study is to investigate the perception of domestic appraisers about the possibility of using artificial intelligence (AI) and related risks from the use of AI in the appraisal industry. We conducted a mobile survey of evaluators from February 10 to 18, 2022. We collected survey data from 193 respondents. Frequency analysis and multiple response analysis were performed for basic analysis. When AI is used in the appraisal industry, factor analysis was used to analyze various types of risks. Although appraisers have a positive perception of AI introduction in the appraisal industry, they considered collateral, consulting, and taxation, mainly in areas where AI is likely to be used and replaced, mainly negative effects related to job losses and job replacement. They were more aware of the alternative risks caused by AI in the field of human labor. I was very aware of responsibilities, privacy and security, and the risk of technical errors. However, fairness, transparency, and reliability risks were generally perceived as low risk issues. Existing studies have mainly studied analysis methods that apply AI to mass evaluation models, but this study focused on the use and risk of AI. Understanding industry experts' perceptions of AI utilization will help minimize potential risks when AI is introduced on a large scale.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.3
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• pp.153-161
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• 2020

Due to the recent development of the 4th industrial revolution, Smart Factories that organically link various technologies such as AI, IoT, Cloud, and Big Data are increasing. Based on this, in the industrial environment where the internal process is controlled automatically, high availability should be secured against the loss caused when the internal process of the Smart Factory is stopped due to the determinism and malicious attack necessary to control the device such as PLC. The research and analysis of industrial network equipment and security equipment used in various industries can improve the efficiency and usability of industrial control systems in national infrastructure and can provide important feedback to build related infrastructure. Therefore, we compared industrial network equipment and security equipment in this paper in a variety of ways and expect to be used as a roadmap for developing technologies for industrial network equipment and industrial security equipment based on the results of this paper.