• 한국국방경영분석학회지
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• 제17권2호
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• pp.72-89
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• 1991

In transportation network problems, it is often desirable to select multiple number of the shortect paths. On problems of finding these paths, algorithms have been developed to choose single shortest path, k-shortest paths and k-shortest paths via p-specified nodes in a network. These problems consider the time as the main factor. In wartime, we must consider availability as well as time to determine the shortest transportation path, since we must take into account enemy's threat. Therefore, this paper addresses the problem of finding the shortest transportation path considering both time and availability. To accomplish the objective of this study, values of k-shortest paths are computed using the algorithm for finding the k-shortest paths. Then availabilties of those paths are computed through simulation considering factors such as rates of suffering attack, damage and repair rates of the paths. An optimal path is selected using any one of the four decision rules that combine the value and availability of a path.

• 대한전기학회논문지:전력기술부문A
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• 제49권8호
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• pp.405-411
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• 2000

When faults occur in transmission lines, the classification of faults is very important. If the fault is HIF(High Impedance Fault), it cannot be detected or removed by conventional overcurrent relays (OCRs), and results in fire hazards and causes damages in electrical equipment or personal threat. The fast discrimination of fault needs to effective protection and treatment and is important problem for power system protection. This paper propolsed the fault detection and discrimination algorithm for LIFs(Low Impedance Faults) and HIFs(High Impedance Faults). This algorithm uses artificial neural networks and variation of 3-phase maximum currents per period while faults. A double lines-to-ground and line-to-line faults can be detected using Neural Network. Also, the other faults can be detected using the value of variation of maximum current. Test results show that the proposed algorithms discriminate LIFs and HIFs accurately within a half cycle.

• International Journal of Internet, Broadcasting and Communication
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• 제9권3호
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• pp.9-16
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• 2017

Recently, more users have been using IoT embedded systems. Since the wireless network function is a basic and core function in most embedded systems, new security threats and weaknesses are expected to occur. In order to resolve these threats, it is necessary to investigate the security issues in the development stages according to the Security Development Lifecycle (SDL). This study analyzes the vulnerabilities of the embedded systems equipped with the wireless network function, and derives possible security threats and how dangerous such threats are. We present security risks including bypassing the authentication stage required for accessing to the embedded system.

• 한국융합학회논문지
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• 제4권1호
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• pp.27-31
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• 2013

최근 IT기술의 발전에 따라 언제 어디서나 이용할 수 있는 M2M기반의 무선 충전 분야의 기술 개발이 빠르게 진행되고 있다. M2M에서 무선충전기술은 무선 네트워크를 기반으로 하기 때문에 다양한 보안의 위협요소가 발생된다. 본 논문에서는 무선 충전 시 무선 네트워크 공격 기반의 인증 및 지불 공격에 대한 위협을 알아보고, 기존의 인증 및 지불을 위하여 무선충전 서비스 상황에 맞는 대응 기법을 제안한다.

• 융합보안논문지
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• 제15권7호
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• pp.55-62
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• 2015

현재 각종 PC 및 정보시스템의 발전으로 인하여 인터넷이 급속도로 확산되고 있으며 이러한 인터넷 사용 증가에 따른 악성코드의 위협이 심각하게 나타나고 있다. 특히 보안인력 및 투자가 부족한 중소기업은 중요서버 및 내부 PC 대상으로 악성코드에 감염되었더라도 확인 및 조치가 불가능한 실정이다. 중소기업에서 실시하고 있는 중앙 집중형 방식의 보안관제형 악성코드탐지서비스를 분석하고 대응방안을 제시한다.

• 한국융합학회논문지
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• 제3권4호
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• pp.1-5
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• 2012

최근 IT기술의 발전에 따라 언제 어디서나 이용할 수 있는 U-Healthcare분야의 기술 개발이 빠르게 진행되고 있다. U-Healthcare 기술은 네트워크를 기반으로 하기 때문에 다양한 보안의 위협요소가 발생된다. 본 논문에서는 네트워크 공격 기반의 DOS/DDOS공격에 대한 위협을 알아보고, 기존 Detecting Early DOS/DDOS attacks through Packet Counting을 수정하여 U-Healthcare서비스 상황에 맞는 대응 기법을 제안한다.

• 디지털산업정보학회논문지
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• 제13권2호
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• pp.1-11
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• 2017

In this paper, we design and implement PADIL(Prediction And Detection of Information Leakage) system that predicts and detect information leakage behavior of insider by analyzing network traffic and applying a variety of machine learning methods. we defined the five-level information leakage model(Reconnaissance, Scanning, Access and Escalation, Exfiltration, Obfuscation) by referring to the cyber kill-chain model. In order to perform the machine learning for detecting information leakage, PADIL system extracts various features by analyzing the network traffic and extracts the behavioral features by comparing it with the personal profile information and extracts information leakage level features. We tested various machine learning methods and as a result, the DecisionTree algorithm showed excellent performance in information leakage detection and we showed that performance can be further improved by fine feature selection.

• International Journal of Computer Science & Network Security
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• 제22권4호
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• pp.33-38
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• 2022

The main purpose of the study is to determine the key aspects of the mechanisms of state management of the exchange of information about cyberattacks, cyber incidents, and information security incidents. The methodology includes a set of theoretical methods. Modern government, on the one hand, must take into account the emergence of such a new weapon as cyber, which can break various information systems, can be used in hybrid wars, influence political events, pose a threat to the national security of any state. As a result of the study, key elements of the mechanisms of state management of the exchange of information about cyberattacks, cyber incidents, and information security incidents were identified.

• International Journal of Computer Science & Network Security
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• 제21권7호
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• pp.365-373
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• 2021

Covid-19 posed a serious threat to public health worldwide, especially in the absence of vaccines or medicines. The only viable strategies to combat a virus with a high infection rate were to apply lock-down strategies, transport ban, social and physical distancing. In this work, we provide a domain-specific component model for crisis management. The model allows for building a plan for managing Covid-19 crisis and use the plan as a template to generate a system specific for managing that crisis. The crisis component model is derived from X-MAN II, a generic component model that we have developed for the aircraft industry

• International Journal of Computer Science & Network Security
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• 제21권11호
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• pp.181-188
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• 2021

The use of the internet has become a basic need for many across the globe. The situation is very much the same for the youth in many countries like Saudi Arabia who have grown up surrounded and accessing the internet. This demographic, however, is at an increased risk of falling as victims to cybercrime because of a low level of technical awareness. This review looks at the level of technical awareness of internet use in 3 different countries which include the USA, South Africa, and New Zealand. The review will compare the situation in these nations with those in KSA. Based on the review and comparisons, recommendations are made for culturally and socially acceptable e-Safety awareness of Saudi youths.