• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.5
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• pp.1179-1189
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• 2019

Cyber security evaluation is a series of processes that estimate the level of risk of assets and systems through asset analysis, threat analysis and vulnerability analysis and apply appropriate security measures. In order to prepare for increasing cyber attacks, systematic cyber security evaluation is required. Various indicators for measuring cyber security level such as CWSS and CVSS have been developed, but the quantitative method to apply appropriate security measures according to the risk priority through the standardized security evaluation result is insufficient. It is needed that an Scoring system taking into consideration the characteristics of the target assets, the applied environment, and the impact on the assets. In this paper, we propose a quantitative risk assessment model based on the analysis of existing cyber security scoring system and a method for quantification of assessment factors to apply to the established model. The level of qualitative attribute elements required for cyber security evaluation is expressed as a value through security requirement weight by AHP, threat influence, and vulnerability element applying probability. It is expected that the standardized cyber security evaluation system will be established by supplementing the limitations of the quantitative method of applying the statistical data through the proposed method.

• East Asian Economic Review
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• v.22 no.4
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• pp.507-529
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• 2018

This paper evaluates the whole impact of quantitative easing on inflation in Korea implemented by the central banks in four major advanced economies, the U.S., Euro Area, U.K. and Japan. According to the analysis employing a VAR-X model with the security holdings of those central banks an exogenous variable, quantitative easing is estimated to exert downward pressures on inflation in Korea. Considering the impulse responses of Korean macroeconomic variables to a quantitative easing shock, the spillover effect is transmitted through exchange rate channel while trade channel turns out to be ineffective. In an additional analysis assessing the impact of each quantitative easing program of the central banks, only those of the Fed and European Central Bank are estimated to be significant. The empirical results prove to be robust even if using long-term interest rates as an alternative indicator of quantitative easing.

• Journal of Broadcast Engineering
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• v.13 no.2
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• pp.261-273
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• 2008

Multimedia service whose use is rapidly increasing supports effective services to convert and transmit multimedia data based on network speed, noise circumstance, terminal computation, and type of contents for satisfying QoS. For supporting information protection of multimedia service, it offers middle level of singular security service or security mechanism which is based on policy of service provider, depending on present terminal computation and type of contents. It can support security mechanism for more effective multimedia service, if we study security of application layer and network layer for supporting multimedia service. In this paper, we propose Multimedia security framework reflected on quantitative analysis of the WLAN(Wireless Local Area Network) mesh network security using the utility function in the level of the sorority, violation and addictive compensation model.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.4
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• pp.135-141
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• 2008

The risk enlargement of cyber infringement and hacking is one of the latest hot issues. To solve the problem, the research for Security Risk Analysis, one of Information Security Technique, has been activating. However, the evaluation for Security Risk Analysis has many burdens; evaluation cost, long period of the performing time, participants’ working delay, countermeasure cost, Security Management cost, etc. In addition, pre-existing methods have only treated Analyzing Standard and Analyzing Method, even though their scale is so large that seems like a project. the Analyzing Method have no option but to include assessors’ projective opinion due to the mixture using that both qualitative and quantitative method are used for. Consequently, in this paper, we propose the Security Risk Analysis Methodology which manage the quantitative evaluation as a project and use Case-Based Reasoning Algorithm for define the period of the performing time and for select participants.

• Journal of Korea Multimedia Society
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• v.17 no.12
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• pp.1494-1502
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• 2014

Since smartphones are utilized in the ranges from personal usages to governmental data exchanges, known but not patched vulnerabilities in smartphone operating systems are considered as major threats to the public. To minimize potential security breaches on smartphones, it is necessary to estimate possible security threats. So far, there have been numerous studies conducted to evaluate the security risks caused by mobile devices qualitatively, but there are few quantitative manners. For a large scale risk evaluation, a qualitative assessment is a never ending task. In this paper, we try to calculate relative risk levels triggered by software vulnerabilities from unsecured smartphone operating systems (Android and iOS) among 51 Asian countries. The proposed method combines widely accepted risk representation in both theory and industrial fields. When policy makers need to make a strategic decision on mobile security related agendas, they might find the presented approach useful.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.12
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• pp.4531-4544
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• 2021

Because the traditional network information security vulnerability risk assessment method does not set the weight, it is easy for security personnel to fail to evaluate the value of information security vulnerability risk according to the calculation value of network centrality, resulting in poor evaluation effect. Therefore, based on the network security data element feature system, this study designed a quantitative assessment method of network information security vulnerability detection risk under single transmission state. In the case of single transmission state, the multi-dimensional analysis of network information security vulnerability is carried out by using the analysis model. On this basis, the weight is set, and the intrinsic attribute value of information security vulnerability is quantified by using the qualitative method. In order to comprehensively evaluate information security vulnerability, the efficacy coefficient method is used to transform information security vulnerability associated risk, and the information security vulnerability risk value is obtained, so as to realize the quantitative evaluation of network information security vulnerability detection under single transmission state. The calculated values of network centrality of the traditional method and the proposed method are tested respectively, and the evaluation of the two methods is evaluated according to the calculated results. The experimental results show that the proposed method can be used to calculate the network centrality value in the complex information security vulnerability space network, and the output evaluation result has a high signal-to-noise ratio, and the evaluation effect is obviously better than the traditional method.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.4
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• pp.30-38
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• 2015

IT security service provides customers with the capability of protecting the networked information asset and infrastructures, and the scope of security service is expanding from a technology-intensive task to a comprehensive protection system for IT environment. To improve the quality of this service, a research model which help assess the quality is required. Several research models have been proposed and used in various service areas, but few cases are found for IT security service. In this work, a research model for the IT security quality has been proposed, based on research models such as SERVQUAL and E-S-QUAL. With the proposed model, factors which affect the service quality and the best quality measure have been identified. And the feasibility of using quantitative measures for quality has been examined. For analysis, structural equation modeling and various statistical methods such as principal component analysis were used. The result shows that satisfaction is the most significant measure affected by the proposed quality factors. Two quality factors, fulfillment and empathy, are the main determinants of the service quality. This leads to a strategy of quality improvement based on factors of emotion and perception, not of technology. The quantitative measures are considered as promising alternative measures, when combined with other measures. In order to design reliable quantitative measures, more work should be done on target processing time and users' expectation. It is hoped that work of this research will provide efficient tools and methods to improve the quality of IT security service and help future research works for other IT service areas.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.14 no.2
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• pp.101-111
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• 2004

Risk analysis process, which identifies vulnerabilities and threat causes of network assets and evaluates expected loss when some of network assets are damaged, is essential for diagnosing ISP network security levels and response planning. However, most existing risk analysis systems provide only methodological analysis procedures, and they can not reflect continually changing vulnerabilities and threats information of individual network system on real time. For this reason, this paper suggests new system design methodology which shows a scheme to collects and analyzes data from network intrusion detection system and vulnerability analysis system and estimate quantitative risk levels. Additionally, experimental performance of proposed system is shown.

• Korean Security Journal
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• no.59
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• pp.9-35
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• 2019

Until now, a lot of research on cyber security have been tried, but there have been few studies on overall relationships, including internal factors and external factors. Therefore, this study examined cyber security management considering not only internal elements of SMEs but also corporate management environment. The first qualitative analysis and the second quantitative analysis were conducted through mixed method research. Qualitative analysis was conducted through a semi-structured interview method, and three themes were found: insufficient cyber security management system, internal noncooperation for cyber security, and problems derived from decision-making system. In the quantitative analysis, multiple regression analysis was conducted on the data obtained through the questionnaire. The perception of cyber threats and internal support among independent variables positively influenced the cyber security management system or the dependent variable. Through this study, internal variables had a causal impact on the cyber security management system rather than external environment variables. This implies that the variables related to the organizational culture such as employees' perception are important. These results are expected to provide practical significance for enhancing the cyber security management system in SMEs.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.464-465
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• 2014

Analysis of characteristics in software vulnerabilities can be used to assess security risks and to determine the resources needed to develop patches quickly to handle vulnerability discovered. Being a new research area, the quantitative aspects of software vulnerabilities and risk assessments have not been fully investigated. However, further detailed studies are required related to the security risk assessment, using rigorous analysis of actual data which can assist decision makers to maximize the returns on their security related efforts. In this paper, quantitative software vulnerability analysis has been presented for major Web browsers (Internet Explorer (IE), Firefox (FX), Chrome (CR) and Safari (SF)) with respect to the Common Vulnerability Scoring System (CVSS). The results show that, almost all the time, vulnerabilities are compromised from remote networks with no authentication required systems, and exploitation aftermath is getting worse.