• Nuclear Engineering and Technology
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• 제55권6호
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• pp.2034-2046
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• 2023

Industrial control systems in nuclear facilities are facing increasing cyber threats due to the widespread use of information and communication equipment. To implement cyber security programs effectively through the RG 5.71, it is necessary to quantitatively assess cyber risks. However, this can be challenging due to limited historical data on threats and customized Critical Digital Assets (CDAs) in nuclear facilities. Previous works have focused on identifying data flows, the assets where the data is stored and processed, which means that the methods are heavily biased towards information security concerns. Additionally, in nuclear facilities, cyber threats need to be analyzed from a safety perspective. In this study, we use the system theoretic process analysis to identify system-level threat scenarios that could violate safety constraints. Instead of quantifying the likelihood of exploiting vulnerabilities, we quantify Security Control Measures (SCMs) against the identified threat scenarios. We classify the system and CDAs into four consequence-based classes, as presented in NEI 13-10, to analyze the adversary impact on CDAs. This allows for the ranking of identified threat scenarios according to the quantified SCMs. The proposed framework enables stakeholders to more effectively and accurately rank cyber risks, as well as establish security and response strategies.

• 디지털산업정보학회논문지
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• 제18권2호
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• pp.39-48
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• 2022

The application of digital technology to instrumentation and control systems in nuclear power plants has overcome many shortcomings of analog technology, but the threat of cybersecurity has increased. Along with other systems, the reactor protection system also uses digital-based equipment, so responding to cybersecurity threats is essential. We generally determine cybersecurity threats according to the role and function of the system. However, since the instrumentation and control system has various systems linked to each other, it is essential to analyze cybersecurity threats together between the connected systems. In this paper, we analyze the cybersecurity threat of the reactor protection system with the associated facilities. To this end, we quantitatively identified the risk of the reactor protection system by considering safety functions, a communication type, the use of analog or digital-based equipment of the associated systems, and the software vulnerability of the configuration module of the reactor protection system.

• 의정연구
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• 제25권3호
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• pp.69-96
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• 2019

본 논문은 현재 북한의 비핵화가 점점 불확실해지고 있고, 미국의 안보 공약에 대한 불신을 제거할 수 없는 상황이라는 전제하에 한국이 보유하고 있는 비핵전력으로 북한의 핵공격을 억제 또는 방어할 수 있는 노력의 방향을 제시하기 위한 목적으로 작성되었다. 이를 위하여 제2장에서는 비핵전력으로 핵위협에 대응하는 방법을 열거 및 설명하였고, 제3장에서는 이에 근거하여 한국의 실태를 분석하였으며, 제4장에서는 한국이 노력해야 할 방향을 제시하였다. 분석을 통하여 본 논문은 북한의 핵위협이 심각한 정도에 비해서 한국의 대비태세는 미흡하고, 특히 2018년 시작된 북한의 비핵화를 둘러싼 협상으로 인하여 기존에 추진해오던 '3축 체계'의 추진이 지체되고 있다고 평가하였다. 결국 미국의 확장억제가 제대로 이행되지 않을 경우 한국의 억제 및 방어에 심각한 문제가 발생할 수밖에 없는 상황이다. 이제 한국은 핵전략의 최소억제 개념에 근거하여 북한이 핵공격을 가할 경우 참수작전을 시행하겠다는 의지를 과시하고 그 능력을 구비하는 것에 최우선적인 비중을 둘 필요가 있다. 선제타격의 경우에도 타격시점을 더욱 앞당길 수밖에 없고, 탄도미사일방어의 경우 담당기구를 격상시키고 주한미군의 그것과 결합시켜 나가야 할 것이다. 핵폭발 시를 대비한 대피소 구축 등에도 노력할 필요가 있다.

• 원자력산업
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• 제34권2호
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• pp.64-71
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• 2014

• 한국원자력학회:학술대회논문집
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• 한국원자력학회 1999년도 추계학술발표회요약집
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• pp.388.1-388
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• 1999

• 융합보안논문지
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• 제17권2호
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• pp.127-135
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• 2017

현재 북한에서 3대 세습체제의 김정은은 역대 김일성과 김정일 정권보다 더욱 호전적으로 핵 및 미사일 도발을 자행하고 있다. 대한민국의 역대 정부는 나름대로의 북한의 도발을 억제하는 노력과 한반도에서의 평화정착을 위한 방안을 제시하여 왔지만 결과론적으로는 통치자로서의 기본 역할에 국한되어 온 것이 사실이다. 2017년 2월 미국의 트럼프 행정부 출범에 따라 미국 대선 과정에서의 공약과 현재에는 대통령령으로서의 통치 스타일을 고려할 때 한반도 문제와 관련하여 다소 희망적이었던 것은 사실이나, 최근 들어 트럼프 대통령의 한반도 관련 다양한 발언은 우리의 상황을 암울하게 하고 있다. 이의 연장에서 김정은의 핵 및 미사일 집착은 역대 북한 정권이 기초를 닦아놓았고 이제 마무리하여 실전배치를 앞둔 상황에서 핵 및 미사일의 경량화, 고도화, 다종화를 기치로 더욱 무모한 도발을 하고 있는 현실이다. 이에 우리는 현재 안보상황을 과거처럼 타국에만 의존할 수 없으며, 대한민국 스스로 무엇을 어떻게 할 것인가를 찾기 위해 북한의 핵 및 미사일 도발을 중심으로 대응방안을 제시하고자 한다.

• Nuclear Engineering and Technology
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• 제54권4호
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• pp.1245-1252
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• 2022

As regulatory bodies require full implementation of security controls in nuclear power plants (NPPs), security functions for critical digital assets are currently being developed. For the ultimate introduction of security controls, not alternative measures, it is important to understand the relationship between possible cyber threats to NPPs and security controls to prevent them. To address the effectiveness of the security control implementation, this study investigated the types of cyber threats that can be prevented when the security controls are implemented through the mapping of the reorganized security controls in RS-015 to cyber threats on NPPs. Through this work, the cyber threat that each security control can prevent was confirmed, and the effectiveness of several strategies for implementing the security controls were compared. This study will be a useful reference for utilities or researchers who cannot use design basis threat (DBT) directly and be helpful when introducing security controls to NPPs that do not have actual security functions.

• 항공우주시스템공학회지
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• 제10권1호
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• pp.118-126
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• 2016

North Korea has continued developing ballistic missiles with various ranges. Even through the recent launch long-range missiles, it can be inferred that North Korea's Missile technology has reached a level where it can even threaten the US. moreover, through the three times nuclear tests, North Korea is known to have succeeded at gaining 10~20KT of explosive power as well as the minimization and lightening of nuclear warhead. Considering the short length of war zone in Korean peninsula and the possibility of nuclear equipment, if be the most severe threat across the whole peninsula. Since the midcourse phase flight takes the longest time, ROK should establish the ability to intercept at this middle phase. From this perspective, this paper describes mission effect of a sea-based BMD system through empirical threat and flight characteristic analysis using MIT model that was not suggested in original research.

• Nuclear Engineering and Technology
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• 제56권4호
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• pp.1372-1384
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• 2024

The discrimination of the source for xenon gases' release can provide an important clue for detecting the nuclear activities in the neighboring countries. In this paper, three machine learning techniques, which are logistic regression, support vector machine (SVM), and k-nearest neighbors (KNN), were applied to develop the predictive models for discriminating the source for xenon gases' release based on the xenon isotopic activity ratio data which were generated using the depletion codes, i.e., ORIGEN in SCALE 6.2 and Serpent, for the probable sources. The considered sources for the neighboring countries of South Korea include PWRs, CANDUs, IRT-2000, Yongbyun 5 MWe reactor, and nuclear tests with plutonium and uranium. The results of the analysis showed that the overall prediction accuracies of models with SVM and KNN using six inputs, all exceeded 90%. Particularly, the models based on SVM and KNN that used six or three xenon isotope activity ratios with three classification categories, namely reactor, plutonium bomb, and uranium bomb, had accuracy levels greater than 88%. The prediction performances demonstrate the applicability of machine learning algorithms to predict nuclear threat using ratios of xenon isotopic activity.

• 한국원자력학회:학술대회논문집
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• 한국원자력학회 1999년도 추계학술발표회요약집
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• pp.317.1-317
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• 1999