• Journal of the Korea Society of Computer and Information
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• v.19 no.7
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• pp.47-57
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• 2014

In order to publicly notify the information security (Internet or Cyber) threat level, the security companies have developed the Threat Meters. As the physical security devices are getting more intelligent and can be monitored and managed through networks, we propose a physical security threat meter (PSTM) to determine the current threat level of physical security; that is a very similar compared with the one of information security. For this purpose, we investigate and prioritize the physical security events, and consider the impact of temporal correlation among multiple security events. We also present how to determine the threshold values of threat levels, and then propose a practical PSTM using the threshold based decision. In particular, we show that the proposed scheme is fully implementable through showing the block diagram in detail and the whole implementation processes with the access controller and CCTV+video analyzer system. Finally the simulation results show that the proposed PSTM works perfectly under some test scenarios.

• Journal of Information Technology Services
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• v.7 no.1
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• pp.117-130
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• 2008

Multi-attribute risk assessments provide a useful framework for systematic quantitative risk assessment that the security manager can use to prioritize security requirements and threats. In the first step, the security managers identify the four significant outcome attributes(lost revenue, lost productivity, lost customer, and recovery cost). Next. the security manager estimates the frequency and severity(three points estimates for outcome attribute values) for each threat and rank the outcome attributes according to AHP(Analytic Hierarchy Process). Finally, we generate the threat index by using muiti-attribute function and make sensitivity analysis with simulation package(Crystal Ball). In this paper, we show how multi-attribute risk analysis techniques from the field of security risk management can be used by security managers to prioritize their organization's threats and their security requirements, eventually they can derive threat index. This threat index can help security managers to decide whether their security investment is consistent with the expected risks. In addition, sensitivity analysis allows the security manager to explore the estimates to understand how they affect the selection.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.5
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• pp.873-883
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• 2013

Security vulnerability quantification is the method that identify potential vulnerabilities by scoring vulnerabilities themselves and their countermeasures. However, due to the structural feature of smart grid system, it is difficult to apply existing security threat evaluation schemes. In this paper, we propose a network model to evaluate smartgrid security threat for AMI and derive attack scenarios. Additionally, we show that the result of security threat evaluation for proposed network model and attack scenario by applying MTTC scheme.

• Journal of Internet Computing and Services
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• v.22 no.3
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• pp.53-58
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• 2021

There is little research on actual business activities in the field of security control. Therefore, in this paper, we intend to present a practical research methodology that can contribute to the calculation of the size of the appropriate input personnel through the modeling of the threat information detection response time of the security control and to analyze the effectiveness of the latest security solutions. The total threat information detection response time performed by the security control center is defined as TIDRT (Total Intelligence Detection & Response Time). The total threat information detection response time (TIDRT) is composed of the sum of the internal intelligence detection & response time (IIDRT) and the external intelligence detection & response time (EIDRT). The internal threat information detection response time (IIDRT) can be calculated as the sum of the five steps required. The ultimate goal of this study is to model the major business activities of the security control center with an equation to calculate the cyber threat information detection response time calculation formula of the security control center. In Chapter 2, previous studies are examined, and in Chapter 3, the calculation formula of the total threat information detection response time is modeled. Chapter 4 concludes with a conclusion.

• Korean Security Journal
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• no.17
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• pp.33-51
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• 2008

According to dictionary, the meaning of protection is "guard and protect" that means protecting the Protectee's safety in case of sudden attack or various accident and Security means all protecting activity including Protectee and place where he is in or will be as comprehensively meaning of safe. As you see in the definition, Protection and security is the act to protect or will to protect from a security-threat act. A security-threat act can be discussed in the range of the concept of a criminal act in Criminal Law. A security-threat act is based on criminal act in Criminal Law, we are going to review such a security-threat act in a point of view in a sphere of learning in today's remarkable a brain-neuro science and cognitive science based on cognitive psychology, and to use an analysis on such a security-threat act to make a foundation for a establishment of the scientific preventive social security countermeasure. To do so, First of all we are going to review a security-threat act based on criminal act in Criminal Law in a point of protection police logic view. Next, we are going to introduce how cognitive science understand about act of man before we analyse a threat act as one of an act of man in cognitive science point of view. Finally, we are going to discuss the need of cognitive scientific analyse in order to establish the Scientific Preventive Social-security Countermeasure at the same time we are going to analyse a threat act in a cognitive scientific view.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.3
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• pp.657-673
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• 2019

As various IT and OT systems such as Electronic Chart Display and Information System and Automatic Identification System are used for ships, security elements that take into account even the ship's construction and navigation environment are required. However, cyber security research on the ship and shipbuilding ICT equipment industries is still lacking, and there is a lack of systematic methodologies through threat modeling. In this paper, the Data Flow Diagram was established in consideration of stakeholders approaching the ship system. Based on the Attack Library, which collects the security vulnerabilities and cases of ship systems, STRIDE methodologies and threat modeling using the Attack Tree are designed to identify possible threats from ships and to present ship cyber security measures.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.20 no.2
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• pp.47-57
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• 2012

The strengthened aviation security measurements caused by increased terror threat all around the world have air passengers annoyed by uneasy treatment and some delayed process. The service level of air travel and competitiveness of airlines industry has been weakened also. The aviation security process is mainly conducted at an airport. The threat level of airport is not usually same airport to airport, and the quality of aviation security activity is neither same. However, ICAO requires every international airport to conduct similar process to ensure aviation security without considering situational difference of each airport. The paper has objectives to develop reasonable security measurements based on risk management concept. It studied the ways of achieving target level of security of an airport, considering the threat situation of the airport and its ability to conduct security procedures.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.5
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• pp.69-77
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• 2021

This study aims to identify security-based threat information for an organization. This is because protecting the threat for IT systems plays an important role for an corporate's intangible assets. Security monitoring systems determine and consequently respond threats by analyzing them in a real time situation, focusing on events and logs generated by security protection programs. The security monitoring task derives priority by dividing threat information into reputation information and analysis information. Reputation information consisted of Hash, URL, IP, and Domain, while, analysis information consisted of E-mail, CMD-Line, CVE, and attack trend information. As a result, the priority of reputation information was relatively high, and it is meaningful to increase accuracy and responsiveness to the threat information.

• Convergence Security Journal
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• v.20 no.4
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• pp.125-134
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• 2020

The potential security threat is increasing as the supply of ICT products to the defense sector increases with the development of information and communication technology. Attempts to neutralize, such as intelligence gathering and destruction, through attacks on the defense power support system and the intelligence system of the weapons system could pose a fatal threat.Therefore, security measures of supply chain shear system that take into account ICT product production and operation stage to maintenance stage are needed in defense field. In the paper, technical and administrative measures for responding to 12 ICT supply chain security threats at each stage of the defense ICT supply chain life cycle were presented.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.420-423
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• 2019

최근 국내에서 발생되고 있는 사이버 공격들의 대부분은 기존 보안장비로 탐지가 어려운 지능형 공격으로 2017년 한 해 동안 발생한 사이버 공격의 경제적 피해액은 약 77조원에 달하고 있다. 또한 이러한 공격을 탐지하는데 평균 145일 정도가 소요되고 있으며 국내 기업 중 약 70% 가량은 사이버 공격을 적극적으로 대응하고 있지 않다. 이러한 공격들은 대부분 과거에 발생한 공격의 변형이거나, 특정 공격 집단이 수행하는 유사/변종 공격들이다. 이러한 사이버 공격을 사전에 탐지하거나 이미 발생된 공격의 변형된 공격을 신속하게 탐지하기 위해서 본 논문에서는 기존 사이버 공격에 사용된 다양한 정보들을 능동적으로 수집하여, 이들 간의 연관성을 분석하고, 실시간으로 유입되는 공격 의심정보와 비교분석하는 기술을 제시한다.