• 인터넷정보학회논문지
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• 제22권6호
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• pp.83-89
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• 2021

RMF(사이버보안 위험관리 프레임워크)는 지금 현재 국방영역을 넘어 미 연방정부 전체에 통용되는 보다 강화된 미 국방 사이버보안 프레임워크이다. 최근 십여년 간 미국이 접한 비정규전에 있어 사이버전이 차지하는 비율, 특히 중국과 북한으로부터 유발된 사이버공격 비중은 점점 더 증대되고 있다. 결국 미국은 범정부 차원의 보다 강화된 사이버보안 정책을 마련하고자 RMF체계를 새롭게 구축중이며, 미 국방부는 연방정부차원을 넘어 동맹국 간에도 미 국방 RMF평가 정책을 확대해 나가고자 한다. 이미 한국군도 F-35A 획득 시 RMF 적용방침을 통보한 미측 요구로 RMF를 적용한 바 있다. 한국군의 RMF적용은 더 이상 피할 수 없는 대세이다. 이제 우리군은 성공적인 한국형 RMF체계 조기 구축을 위해 무엇을 준비해야 하는지 진지하게 고민해야 할 시점이다.

• 한국국방경영분석학회지
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• 제12권1호
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• pp.38-49
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• 1986

Cryptography attempts to protect information by altering its form to make it unreadable to all but the authorized readers. DBMS is a most important computer application area requiring data security, but only a few cryptosystems are suggested for the database encryption. This research develops a new Residue-Coded Cryptosystem based on the Chinese Remainder Theorem, which is considered to be more efficient than the database encryption scheme introduced by Davida, Wells and Kam in 1981.

• International Journal of Computer Science & Network Security
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• 제21권6호
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• pp.89-100
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• 2021

Smart Grid Network (SGN) is a next generation electrical power network which digitizes the power distribution grid and achieves smart, efficient, safe and secure operations of the electricity. The backbone of the SGN is information communication technology that enables the SGN to get full control of network station monitoring and analysis. In any network where communication is involved security is essential. It has been observed from several recent incidents that an adversary causes an interruption to the operation of the networks which lead to the electricity theft. In order to reduce the number of electricity theft cases, companies need to develop preventive and protective methods to minimize the losses from this issue. In this paper, we have introduced a machine learning based SVM method that detects malicious nodes in a smart grid network. The algorithm collects data (electricity consumption/electric bill) from the nodes and compares it with previously obtained data. Support Vector Machine (SVM) classifies nodes into Normal or malicious nodes giving the statues of 1 for normal nodes and status of -1 for malicious -abnormal-nodes. Once the malicious nodes have been detected, we have done a trust evaluation based on the nodes history and recorded data. In the simulation, we have observed that our detection rate is almost 98% where the false alarm rate is only 2%. Moreover, a Trust value of 50 was achieved. As a future work, countermeasures based on the trust value will be developed to solve the problem remotely.

• 한국산학기술학회논문지
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• 제8권4호
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• pp.788-794
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• 2007

미 국방성의 정책은 NCW 개념 구현으로 방향을 이동하고 있다. NCW는 일반적으로 4개의 즉, 지휘통제, 센서 시스템, 교전시스템, 네트워크와 같은 핵심적인 상호종속적인 요소들의 통합과 동기화로 설명할 수 있다. 그러므로 한국군의 군사정책은 적용 가능한 NCW 통신환경 및 암호통신 정책에 대한 접근과 연구가 필요하다. 본 연구에서는 미국을 중심으로 추진되는 네트워크 중심 전쟁에서 보안 프레임워크를 살펴보았다. 네트워크 중심전쟁에서 고려되는 핵심 기술을 소개하였으며 이 핵심 기술인 보안 요구조건, GIG, JTRS, NCES, TCS의 보안 특성과 같은 보안 프레임워크를 고찰하고 NCW 환경에서 노드간 암호통신 중계영향을 분석하였다. 본 결과는 NCW의 다양한 암호통신 연구분야에서 환경적인 영향 요소들을 고찰하는데 도움을 제공한다.

• International Journal of Computer Science & Network Security
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• 제23권11호
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• pp.169-177
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• 2023

Network security is now more crucial than ever for consumers, companies, and military clients. Security has elevated to the top of the priority list since the Internet's creation. The evolution of security technology is now better understood. The area of community protection as a whole is broad and dynamic. News from the days before the internet and more recent advancements in community protection are both included in the topic of observation. Recognize current research techniques, previous Defence strategies that were significant, and network attack techniques that have been used before. The security of various domain names is the subject of this article's description of bibliographic research.

• 안보군사학연구
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• 통권1호
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• pp.191-229
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• 2003

Multi-sensor data fusion techniques combine evidences from multiple sensors in order to get more accurate and efficient meaningful information through several process levels that may not be possible from a single sensor alone. One of the most important parts in the data fusion system is the identification fusion, and it can be categorized into physical models, parametric classification and cognitive-based models, and parametric classification technique is usually used in multi-sensor data fusion system by its characteristic. In this paper, we propose a novel heuristic identification fusion method in which we adopt desirable properties from not only parametric classification technique but also cognitive-based models in order to meet the realtime processing requirements.

• 안보군사학연구
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• 통권5호
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• pp.281-350
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• 2007

The purpose of this study is to survey the circumstances of sniping warfare and to prove the importance of usage of snipers. The research method was referred to the history of foreign warfares and autobiographies, articles, and testimonies of snipers. Also, various news reports were also studied to collect information. The content of this study investigates the circumstances of sniping combat scenes from its first appearance in the world's major warfares to contemporary ones. Also, the research contains the history of weapons, ammunition, rifles, and the principle of rifle shooting including ballistics. We hope this study provides ROK Army and government agencies the foundation of sniping and thereby improving the effectiveness of correspondence to international conflicts and terrorism.

• International Journal of Computer Science & Network Security
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• 제22권1호
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• pp.206-212
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• 2022

The main purpose of the article is to study the peculiarities of the formation of information support mechanisms for economic growth and security under the influence of COVID-19. The cyclical nature of economic growth is a well-established and proven fact. In this context, one of the main tasks of the state is to develop measures to mitigate the impact of economic crises on the entire economic system of the state, individual economic entities, as well as to introduce anti-crisis mechanisms and tools to support the economy. When the cyclical nature of economic crises coincides with destabilizing processes in society, such as natural disasters, military actions or epidemics, the role of the state and adequate information support for economic growth is sharply actualized. As a result, an analysis was made of the main aspects of information support for economic growth and security in the context of COVID-19.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권4호
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• pp.805-821
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• 2011

Wireless Sensor Networks (WSNs) are rapidly emerging because of their potential applications available in military and civilian environments. Due to unattended and hostile deployment environments, shared wireless links, and inherent resource constraints, providing high level security services is challenging in WSNs. In this paper, we revisit various security attack models and analyze them by using a well-known standard notation, Unified Modeling Language (UML). We provide a set of UML collaboration diagram and sequence diagrams of attack models witnessed in different network layers: physical, data/link, network, and transport. The proposed UML-based analysis not only can facilitate understanding of attack strategies, but can also provide a deep insight into designing/developing countermeasures in WSNs.

• 융합보안논문지
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• 제19권5호
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• pp.107-118
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• 2019

4차 산업혁명의 핵심기술 중 하나인 사물인터넷 기술을 기반으로 국방부도 경영 효율화, 병영문화 혁신 및 전력 강화 등을 위해 국방 사물인터넷(M-IoT)의 구축을 추진하고 있다. 그러나 국방 사물인터넷에 연결되는 기기들은 대부분 데이터를 수집하고 전송하는 센싱 및 통신능력 향상에 중점을 두고 개발 및 도입되기 때문에 다양한 사이버위협에 손쉽게 노출될 수 있다. 또한, 국방 사물인터넷 환경에서 운용될 수많은 종류의 기기들을 고유하게 식별하고 기기 간 혹은 기기들과 관리서버 간의 안전한 통신채널을 구성하기도 쉽지 않다. 이에 본 논문에서는 PUF 기술을 기반으로 국방 사물인터넷 환경에서 운용될 다양한 기기들을 고유하게 식별해 내고, PUF가 생성하는 복제 불가능한 정보를 이용하여 안전한 통신채널 구성에 필요한 비밀키를 설립하고 관리해 나갈 수 있는 키 관리 기법을 제안하며 기존 키 관리 기법들과의 비교를 통해 제안된 키 관리 기법의 안전성을 분석하고, BAN Logic을 통해 논리성과 안전성을 검증한다.