• Journal of Information Technology Services
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• v.21 no.5
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• pp.65-79
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• 2022

The smart factory has spread to small and mid-size enterprises (SMEs) under the leadership of the government. Smart factory consists of a work area, an operation management area, and an industrial control system (ICS) area. However, each site is combined with the IT system for reasons such as the convenience of work. As a result, various breaches could occur due to the weakness of the IT system. This study seeks to discover the items and vulnerabilities that SMEs who have difficulties in information security due to technology limitations, human resources, and budget should first diagnose and check. First, to compare the existing domestic and foreign smart factory vulnerability classification systems and improve the current classification system, the latest smart factory vulnerability information is collected from NVD, CISA, and OWASP. Then, significant keywords are extracted from pre-processing, co-occurrence network analysis is performed, and the relationship between each keyword and vulnerability is discovered. Finally, the improvement points of the classification system are derived by mapping it to the existing classification system. Therefore, configuration and maintenance, communication and network, and software development were the items to be diagnosed and checked first, and vulnerabilities were denial of service (DoS), lack of integrity checking for communications, inadequate authentication, privileges, and access control in software in descending order of importance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.6
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• pp.1689-1705
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• 2023

To deal with the potential XSS vulnerabilities in the source code of the power communication network, an XSS vulnerability detection method combining the static analysis method with the dynamic testing method is proposed. The static analysis method aims to analyze the structure and content of the source code. We construct a set of feature expressions to match malignant content and set a "variable conversion" method to analyze the data flow of the code that implements interactive functions. The static analysis method explores the vulnerabilities existing in the source code structure and code content. Dynamic testing aims to simulate network attacks to reflect whether there are vulnerabilities in web pages. We construct many attack vectors and implemented the test in the Selenium tool. Due to the combination of the two analysis methods, XSS vulnerability discovery research could be conducted from two aspects: "white-box testing" and "black-box testing". Tests show that this method can effectively detect XSS vulnerabilities in the source code of the power communication network.

• Convergence Security Journal
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• v.22 no.3
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• pp.19-24
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• 2022

Metaverse is a compound word of the English words 'meta', meaning 'virtual' and 'transcendence', and 'universe' meaning the universe. dimensional virtual world. Metaverse is a concept that has evolved one step further than virtual reality (VR, a cutting-edge technology that enables people to experience life-like experiences in a virtual world created by a computer). It has the characteristic of being able to engage in social and cultural activities similar to reality. However, there are many security issues related to this, and cybersecurity vulnerabilities may occur. This paper analyzes cybersecurity threats that may occur in the metaverse environment and checks vulnerabilities.

• Convergence Security Journal
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• v.4 no.2
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• pp.27-34
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• 2004

The recent explosive use of the Internet and the development of computer communication technologies reveal serious computer security problem. Inspite of many studies on secure access to the system, generally, the attackers do not use the previous intrusion techniques or network flaw, rather they tend to use the vulnerabilities residing inside the program, which are the running programs on the system or the processes for the service. Therefore, the security managers must focus on updating the programs with lots of time and efforts. Developers also need to patch continuously to update the Program, which is a lot of burden for them. In order to solve the problem, we need to understand the vulnerabilities in the program, which has been studied for some time. And also we need to analyze the functions that contains some vulnerabilities inside. In this paper, we first analyzed the vulnerabilities of the standard C library, and Win32 API functions used in various programs. And then we described the design and implementation of the automated scanning tool for writing secure source code based on the analysis.

• Proceedings of the Korea Information Assurance Society Conference
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• 2004.05a
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• pp.3-8
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• 2004

The majority of recent intrusions reveal that the attackers do not use the previous intrusion techniques or network flaw, rather they tend to use the vulnerabilities residing inside the program, which are the running programs on the system or the processes for the service. Therefore, the security managers must focus on updating the programs with lots of time and efforts. Developers also need to patch continuously to update the program, which is a lot of burden for them. In order to solve the problem, we need to understand the vulnerabilities in the program, which has been studied for some time. And also we need to analyze the functions that contains some vulnerabilities inside. In this paper, we first analyzed the vulnerabilities of the standard C library, and Win32 API functions used in various programs. And then we described the design and implementation of the automated scanning tool for writing secure source code based on the analysis.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.6
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• pp.1449-1461
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• 2018

As the number of software vulnerabilities grows year by year, attacks on software are also taking place a lot. As a result, the security administrator must identify and patch vulnerabilities in the software. However, it is important to prioritize the patches because patches for all vulnerabilities are realistically hard. In this paper, we propose a scoring system that expands the scale of risk assessment metric by taking into consideration attack patterns or weaknesses cause vulnerabilities with the vulnerability information provided by the NIST(National Institute of Standards and Technology). The proposed scoring system is expanded based on the CWSS and uses only public vulnerability information to utilize easily for any company. In this paper, we applied the automated scoring system to software vulnerabilities, and showed the expanded metrics with consideration for influence of attack pattern and weakness are meaningful.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.2
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• pp.243-253
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• 2022

Recently, cyber attacks on national infrastructure facilities have continued to occur. As a result, the vulnerabilities of ICS-CERTs have more than doubled from last year, and the vulnerabilities to industrial control systems such as nuclear facilities are increasing day by day. Most control system operators formulate vulnerability countermeasures based on the vulnerability information sources of industrial control systems provided by ICS-CERT in the United States. However, it is difficult to apply this to the security of domestic control systems because ICS-CERT does not contain all relevant vulnerability information and does not provide vulnerabilities to domestic manufacturer's products. In this research, we will utilize publicly available vulnerability-related information such as CVE, CWE, ICS-CERT, and CPE to discover vulnerabilities that may exist in control system assets and may occur in the future. I proposed a plan that can predict possible vulnerabilities and applied it to information on major domestic control systems.

• Journal of Software Assessment and Valuation
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• v.16 no.2
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• pp.45-52
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• 2020

Traditional methods of detecting security vulnerabilities in source-code require a lot of time and effort. If there is good data, the issue could be solved by using the data with machine learning. Thus, this paper proposes a source-code vulnerability detection method based on machine learning. Our method employs the code2vec model that has been used to propose the names of methods, and uses as a data set, Juliet Test Suite that is a collection of common security vulnerabilities. The evaluation shows that our method has high precision of 97.3% and recall rates of 98.6%. And the result of detecting vulnerabilities in open source project shows hopeful potential. In addition, it is expected that further progress can be made through studies covering with vulnerabilities and languages not addressed here.

• ETRI Journal
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• v.31 no.5
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• pp.554-564
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• 2009

In information security and network management, attacks based on vulnerabilities have grown in importance. Malicious attackers break into hosts using a variety of techniques. The most common method is to exploit known vulnerabilities. Although patches have long been available for vulnerabilities, system administrators have generally been reluctant to patch their hosts immediately because they perceive the patches to be annoying and complex. To solve these problems, we propose a security vulnerability evaluation and patch framework called PKG-VUL, which evaluates the software installed on hosts to decide whether the hosts are vulnerable and then applies patches to vulnerable hosts. All these operations are accomplished by the widely used simple network management protocol (SNMP). Therefore, system administrators can easily manage their vulnerable hosts through PKG-VUL included in the SNMP-based network management systems as a module. The evaluation results demonstrate the applicability of PKG-VUL and its performance in terms of devised criteria.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.180-187
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• 2020

Security threats are increasing with interest due to the mass spread of smart devices, and vulnerabilities in developed applications are being exposed while mobile malicious codes are spreading. The government and companies provide various applications for the public, and for reliability and security of applications, security checks are required during application development. In this paper, among the security threats that can occur in the mobile service environment, we set up the vulnerability analysis items to respond to security threats when developing Android-based applications. Based on the set analysis items, vulnerability analysis was performed by examining three applications of public institutions and private companies currently operating as mobile applications. As a result of application security checks used by three public institutions and companies, authority management and open module stability management were well managed. However, it was confirmed that many security vulnerabilities were found in input value verification, outside transmit data management, and data management. It is believed that it will contribute to improving the safety of mobile applications through the case of vulnerability analysis for Android application security.