• KIPS Transactions on Computer and Communication Systems
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• v.8 no.7
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• pp.177-180
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• 2019

A typical vulnerability scoring system is Common Vulnerability Scoring System(CVSS). However, since CVSS does not differentiate among the individual vulnerability impact of the asset and give higher priority for the more important assets, it is impossible to respond effectively and quickly to high-risk vulnerabilities on large systems. We propose a Layered weight based Vulnerability impact assessment Scoring System which can hierarchically group the importance of assets and weight the number of layers and the number of assets to effectively manage the impact of vulnerabilities on a per asset basis.

• Convergence Security Journal
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• v.20 no.5
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• pp.41-52
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• 2020

This paper implements a priority algorithm for active response to security event risk, and implements an event scheduler that performs efficient event processing based on this. According to the standards that have global standards such as CVE and CVSS, standards for scoring when security events are executed are prepared and standardized so that priorities can be more objectively set. So, based on this, we build a security event database and use it to perform scheduling. In addition, by developing and applying the security event scheduling priority algorithm according to the situation of security events in Korea, it will contribute to securing the reliability of information protection and industrial development of domestic or ganizations and companies.

• 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.

• Journal of the Economic Geographical Society of Korea
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• v.5 no.1
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• pp.69-87
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• 2002

This study examines the spatial diffusion and locational charateristics of convenience stores in Daegu which had increased rapidly in the 1990s. The first convenience store (CVS) was introduced in the zone of transition of (Namgu district) adjacent to the city center or CBD in 1992. Thereafter they diffused into CBD and residential areas, but they have centered around places where their steady purchasing population was distributed. As a result, the spatial distribution of CVSs in Daegu shows a very uneven pattern concentrated in areas with many high school, in commercial and business areas, and apartment residential areas. It seems that this pattern is derived from two basic locational factors. Primarily, the location of CVSs in Daegu is very closely related with the spatial distribution of the demand population which will be clients for CVSs. Secondarily, it is also affected by the accessibility of streets which the demand population utilizes easily.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.4
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• pp.921-932
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• 2015

We proposed a new scoring system on software vulnerabilities, which calculates quantitatively the severity of software vulnerabilities. The proposed scoring system consists of metrics for vulnerability severity and scoring equations; the metrics are designed to measure the severity of a software vulnerability considering the prevalence of the vulnerability, the risk level of the vulnerability, the domestic market share of the software and the frequency of the software. We applied the proposed scoring system to domestically reported software vulnerabilities, and discussed the effectiveness of the scoring system, comparing it with CVSS and CWSS. We also suggested the prospective utilization areas of the proposed scoring system.

• Journal of Korea Multimedia Society
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• v.18 no.2
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• pp.199-206
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• 2015

Since security vulnerabilities newly discovered in a popular Web browser immediately put a number of users at risk, urgent attention from developers is required to address those vulnerabilities. Analysis of characteristics in the Web browser vulnerabilities can be used to assess security risks and to determine the resources needed to develop patches quickly to handle vulnerabilities discovered. So far, being a new research area, the quantitative aspects of the Web browser vulnerabilities and risk assessments have not been fully investigated. However, due to the importance of Web browser software systems, further detailed studies are required related to the Web browser 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 with respect to the Common Vulnerability Scoring System. Further, vulnerability discovery trends in the Web browsers are also investigated. The results show that, almost all the time, vulnerabilities are compromised from remote networks with no authentication required systems. It is also found that a vulnerability discovery model which was originally introduced for operating systems is also applicable to the Web browsers.

• Journal of the Korea Society of Computer and Information
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• v.23 no.12
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• pp.95-105
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• 2018

As the IT industry developed, the information held by the company soon became a corporate asset. As this information has value as an asset, the number and scale of various cyber attacks which targeting enterprises and institutions is increasing day by day. Therefore, research are being carried out to protect the assets from cyber attacks by using the attack graph to identify the possibility and risk of various attacks in advance and prepare countermeasures against the attacks. In the attack graph, security metric is used as a measure for determining the importance of each asset or the risk of an attack. This is a key element of the attack graph used as a criterion for determining which assets should be protected first or which attack path should be removed first. In this survey, we research trends of various security metrics used in attack graphs and classify the research according to application viewpoints, use of CVSS(Common Vulnerability Scoring System), and detail metrics. Furthermore, we discussed how to graft the latest security technologies, such as MTD(Moving Target Defense) or SDN(Software Defined Network), onto the attack graphs.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.4
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• pp.961-974
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• 2015

With the advancement of SIEM from ESM, it allows deep correlated analysis using huge amount of data. By collecting software's vulnerabilities from assessment with certain classification measures (e.g., CWE), it can improve detection rate effectively, and respond to software's vulnerabilities by analyzing big data. In the phase of monitoring and vulnerability diagnosis Process, it not only detects predefined threats, but also vulnerabilities of software in each resources could promptly be applied by sharing CCE, CPE, CVE and CVSS information. This abstract proposes a model for effective detection and response of software vulnerabilities and describes effective outcomes of the model application.

• Journal of Internet Computing and Services
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• v.14 no.3
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• pp.23-33
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• 2013

Recently in the field of IT, cloud computing technology has been deployed rapidly in the current society because of its flexibility, efficiency and cost savings features. However, cloud computing system has a big problem of vulnerability in security. In order to solve the vulnerability of cloud computing systems security in this study, impact types of virtual machine about the vulnerability were determined and the priorities were determined according to the risk evaluation of virtual machine's vulnerability. For analyzing the vulnerability, risk measurement standards about the vulnerability were defined based on CVSS2.0, which is an open frame work; and the risk measurement was systematized by scoring for relevant vulnerabilities. Vulnerability risk standards are considered to suggest fundamental characteristics of vulnerability and to provide the degree of risks and consequently to be applicable to technical guides to minimize the vulnerability. Additionally, suggested risk standard of vulnerability is meaningful as the study content itself and could be used in technology policy project which is to be conducted in the future.

• Convergence Security Journal
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• v.19 no.1
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• pp.103-110
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• 2019

Recently security related attacks occur in very diverse ways, aiming at people who operate the system rather than the system itself by exploiting vulnerabilities of the system. However, to the our best knowledge, there has been very few works to analyze and strategically to deal with the risks of social engineering attacks targeting people. In this paper, in order to access risks of social engineering attacks we analyze those attacks in terms of attack routes, attack means, attack steps, attack tools, attack goals. Then, with the purpose of accessing the organizational risks we consider the characteristics and environments of the organizations because the impacts of attacks on the organizations obviously depend on the characteristics and environments of the organizations. In addition, we analyze general attack risk assessment methods such as CVSS, CWSS, and OWASP Risk Rating Methodolog. Finally, we propose the risk access scheme of social engineering attacks for the organizations. The proposed scheme allows each organization to take its own proper actions to address social engineering attacks according to the changes of its environments.