• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.208-211
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• 2022

최근 COVID-19 팬데믹 시대 도래로 ICT 기술 기반의 지능화된 사회실현에 대한 관심이 높아지고 있지만, 사이버 위협의 다변화로 그 범위와 피해 또한 확대되고 있다. 특히, 개인의 민감 데이터뿐만 아니라, 산업체와 공공기관의 사이버 위험성 및 노출은 심각한 문제가 발생할 수 있다. 본 논문에서는 이러한 정보보호 분야에서의 위협행위 등을 탐지, 분석, 대응할 수 있는 교육 프로그램 개발과 전문 인력양성을 위한 사이버 레인지의 국내·외 기술 동향을 살펴보고자 한다. 마지막으로, 더욱 지능화되고 발전하는 사이버 위협으로부터 이를 방지하고 대응하기 위한 사이버 레인지의 발전 방향을 논하고자 한다.

• Journal of Internet Computing and Services
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• v.18 no.5
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• pp.9-15
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• 2017

In the whole world the Attack Technologies of cyber warfare in modern society are growing faster and complicated. The frequency of the new attacks is shorter than before day by day. The defense technologies and experts against these attacks are very few. One of answers to solve these problems is the cyber range as a test-bed to prepare the cyber warfare considered by many countries. This paper examines the foreign cases and similar systems, collects and analyzes various attributes for cyber range. Finally it refines them through system engineering processes. In these processes missions and concepts for administration are set with architecture framework. The logical architecture is designed. Based on designed architecture two goals, defense technologies and procurement of experts, are established. And it shows effective and persistent administration of cyber range.

• Journal of the Korea Society of Computer and Information
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• v.25 no.9
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• pp.71-80
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• 2020

As societies become hyperconnected, we need more cyber security experts. To this end, in this paper, based on the analysis results of the real world cyber attacks and the MITRE ATT&CK framework, we developed CyTEA that can model cyber threats and generate simulated cyber threats in a cyber security training system. In order to confirm whether the simulated cyber threat has the effectiveness of the actual cyber threat level, the simulation level was examined based on procedural, environmental, and consequential similarities. in addition, it was confirmed that the actual defense training using cyber simulation threats is the same as the expected defense training when using real cyber threats in the cyber security training system.

• Convergence Security Journal
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• v.20 no.4
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• pp.143-151
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• 2020

The cyber battlefield called the fifth battlefield, is not based on geological information unlike the existing traditional battlefiels in the land, sea, air and space, and has a characteristics that all information has tightly coupled correlation to be anlayized. Because the cyber battlefield has created by the network connection of computers located on the physical battlefield, it is not completely seperated from the geolocational information but it has dependency on network topology and software's vulnerabilities. Therefore, the analysis for cyber battlefield should be provided in a form that can recognize information from multiple domains at a glance, rather than a single geographical or logical aspect. In this paper, we describe a study on the development of the cyber operation COP(Common Operational Picture), which is essential for command and control in the cyber warfare. In particular, we propose an architecure for cyber operation COP to intuitively display information based on visualization techniques applying the multi-layering concept from multiple domains that need to be correlated such as cyber assets, threats, and missions. With this proposed cyber operation COP with multi-layered visualization that helps to describe correlated information among cyber factors, we expect the commanders actually perfcrm cyber command and control in the very complex and unclear cyber battlefield.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.2
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• pp.331-346
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• 2019

Global cyber threats to industrial control systems are increasing. As a result, related research and cooperation are actively underway. However, we are focusing on strengthening security for physical network separation and perimeter. Internal threats are still vulnerable. This is because the easiest and strongest countermeasure is to enhance border security, and solutions for enhancing internal security are not easy to apply due to system availability problems. In particular, there are many vulnerabilities due to the large number of legacy systems remaining throughout industrial control systems. Unless these vulnerable systems are newly built according to the security framework, it is necessary to respond to these vulnerable systems, and therefore, a security solution considering availability has been verified and suggested. Using Sysmon and ELK, security solutions can detect Cyber-threat that are difficult to detect in unstructured ICS.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.211-212
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• 2019

서로 다른 지역에서 서로 다른 과정의 실습 중심의 정보보호 단기 교육을 진행하기 위하여 SaaS 기반 가상훈련 시스템을 사용하였다. 본 논문에서는 SaaS 기반 가상훈련 시스템을 이용한 정보보호 실습 교육의 장단점을 정리한다. 강사 및 수강생들은 교육 과정 중 데스크톱 가상화를 사용하여 실습 환경을 구축하는 시간을 절약할 수 있었다. 또한, 원격 실습 지원, 진행 상황 확인도 가능하였다. 관리자는 강사 및 장소와 무관하게 균등한 실습 교육을 제공할 수 있다는 점이 가장 큰 장점이었다. 향후에는 서버 가상화와 데스크톱 가상화가 결합된 하이브리드 형태의 실습 환경 개발을 고려할 필요가 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.2-4
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• 2020

최근 데이터 분석을 위한 연구 환경은 고성능 컴퓨팅자원, 대용량 스토리지, 초고속 네트워크 시스템등 IT 기술이 융합된 사이버 인프라 연구 환경을 기반으로 하고 있다. 또한, 실험의 규모가 커지면서 다수의 연구자들이 협업을 통해 공동의 연구결과를 도출하는 집단연구가 증가하고 있다. 본 논문에서는 이러한 환경에서 연구자들이 대용량 실험데이터를 공유·분석할 수 있는 효율적인 스토리지 작업 공간 모델을 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.772-773
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• 2024

의미적 정보까지 학생 모델에게 학습시키기 위한 지식 증류 기법은 많이 논의되어 왔다. 그러나 학생 모델의 용량이 교사 모델의 용량에 비해 부족함에서 발생하는 의미적 정보 손실에 대한 논의는 아직 진행되지 않았다. 본 논문에서는 의미적 정보의 최소 단위를 교사 모델의 레이어로 설정하여 학생 모델이 지식 증류를 시작하기 전 최적의 지식 증류 대상을 설정하는 최적 은닉층 선정 알고리즘을 제시한다.

• Convergence Security Journal
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• v.23 no.3
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• pp.73-81
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• 2023

The progress in science and technology has widened the scope of the battlefield, leading to the emergence of cyber electronic warfare that exploits electromagnetic waves and networks. Drones have become more important due to advancements in battery technology and navigation systems. Nevertheless, tackling drone threats comes with its own set of difficulties. Radar plays a vital role in detecting drones, offering long-range capabilities and independence from weather conditions. However, the battlefield presents unique challenges like dealing with high levels of signal noise and ensuring the safety of the detection assets. This paper proposes various approaches to improve the operation of drone detection radar in cyber electronic warfare, with a focus on enhancing signal processing techniques, utilizing low probability of interception (LPI) radar, and implementing optimized deployment strategies.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.801-807
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• 2024

Linear motion robots are devices that perform functions such as transferring parts or positioning devices, and require high precision. In companies that develop linear robot application systems, human workers are in charge of quality control and fault diagnosis of linear robots, and the result and accuracy of a fault diagnosis varies depending on the skill level of the person in charge. Recently, there have been many attempts to utilize artificial intelligence to diagnose faults in industrial devices. In this paper, we present a system that automatically diagnoses linear rail and ball screw misalignment of a linear robot using transfer learning. In industrial systems, it is difficult to obtain a lot of learning data, and this causes a data imbalance problem. In this case, a transfer learning model configured by retraining an established model is widely used. The information obtained by using an acceleration sensor and torque sensor was used, and its usefulness was evaluated for each case. After converting the signal obtained from the sensor into a spectrogram image, the type of abnormality was diagnosed using an image recognition artificial intelligence classifier. It is expected that the proposed method can be used not only for linear robots but also for diagnosing other industrial robots.