• 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 the Korea Institute of Information Security & Cryptology
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• v.15 no.6
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• pp.3-12
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• 2005

To provide visitors with the various services, Many web sites distribute many ActiveX controls to them because ActiveX controls can overcome limits of HTML documents and script languages. However, PC can become dangerous if it has unsecure ActiveX controls, because they can be executed in HTML documents. Nevertheless, many web sites provide visitors with ActiveX controls whose security are not verified. Therefore, the verification is needed by third party to remove vulnerabilities in ActiveX controls. In this paper, we introduce the process and the technique to fad vulnerabilities. The existing proof codes are not valid because ActiveX controls are different from normal application and domestic environments are different from foreign environments. In this paper, we introduce the technique to prove vulnerabilities in ActiveX control.

• Proceedings of the Korea Information Assurance Society Conference
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• 2004.05a
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• pp.199-204
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• 2004

Operating systems and application programs have security vulnerabilities derived from the software development process. Recently, incident cases related with the abuses of these vulnerabilities are increasing and the damages caused by them are becoming very important security issues all over the nations. Patch management is one of the most important processes to fix vulnerabilities of softwares and to ensure a security of systems. Since an institute or a company has distributed hierarchical and heterogeneous systems, it is not easy to update patches promptly. In this paper, we propose patch management framework to safely distribute and install the patches on Windows, Linux, and Solaris client systems. Besides, we censidered extensibility and hierarchical structure for our patch management framework to support large scaled network environment.

• Journal of Korea Multimedia Society
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• v.24 no.8
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• pp.1076-1089
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• 2021

Among the currently used knowledge-based authentication methods for smartphones, text and graphic-based authentication methods, such as PIN and pattern methods, use a display unit and a touch function of the display unit for input/output of secret information. Recently released smartphone form factors are trying to transform into various forms, away from the conventional bar and slate types because of the material change of the display unit used in the existing smartphone and the increased flexibility of the display unit. However, as mentioned in the study of D. Choi [1], the structural change of the display unit may directly or indirectly affect the authentication method using the display unit as the main input/output device for confidential information, resulting in unexpected security vulnerabilities. In this paper, we analyze the security vulnerabilities of the current mobile user authentication methods that is applied atypical form factor. According to the analysis results, it seems that the existing display-dependent mobile user authentication methods do not consider emerging security threats at all. Furthermore, it is easily affected by changes in the form factor of smartphones. Finally, we propose countermeasures for security vulnerabilities expected when applying conventional authentication methods to atypical form factor-based smartphones.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.6
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• pp.1239-1246
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• 2013

Recently, The cloud computing technology is emerging as an important issue in the world, and In technology and services, has attracted much attention. However, the positive aspects of cloud computing unlike the includes several vulnerabilities. For this reason, the Hacking techniques according to the evolution of a variety of attacks and damages is expected. Therefore, this paper will be analyzed management models through case studies and experiments to the threats and vulnerabilities of the cloud computing. and In the future, this is expected to be utilized as a basis for the security design and performance improvement.

• 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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.347-350
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• 2016

Analysis of vulnerability of the software for risk. The weakness of the software material, the importance of strengthening security in accordance with financial damage occurred is emerging. There is a potential risk factor not only from the case, the manufacturing to use the software company that appropriate to use a software business and personal risk of loss to size.In this paper due to diagnose and vulnerabilities in software, diagnosis, the curriculum and to cultivate a diagnostic guide, and security vulnerabilities in software.Proposal system for increased.

• 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.

• International Journal of Computer Science & Network Security
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• v.24 no.6
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• pp.67-76
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• 2024

The Internet of Things (IoT) has revolutionized communication and device operation, but it has also brought significant security challenges. IoT networks are structured into four levels: devices, networks, applications, and services, each with specific security considerations. Personal Area Networks (PANs), Local Area Networks (LANs), and Wide Area Networks (WANs) are the three types of IoT networks, each with unique security requirements. Communication protocols such as Wi-Fi and Bluetooth, commonly used in IoT networks, are susceptible to vulnerabilities and require additional security measures. Apart from physical security, authentication, encryption, software vulnerabilities, DoS attacks, data privacy, and supply chain security pose significant challenges. Ensuring the security of IoT devices and the data they exchange is crucial. This paper utilizes the Random Forest Algorithm from machine learning to detect anomalous data in IoT devices. The dataset consists of environmental data (temperature and humidity) collected from IoT sensors in Oman. The Random Forest Algorithm is implemented and trained using Python, and the accuracy and results of the model are discussed, demonstrating the effectiveness of Random Forest for detecting IoT device data anomalies.

• Journal of the Korea Society of Computer and Information
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• v.25 no.7
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• pp.85-92
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• 2020

Following the development of Internet of Things (IoT) technology, the scope of application of IoT technology is expanding to industrial safety areas that detect and prevent possible risks in outdoor environments in advance, away from improving the convenience of living in indoor environments. Although this expansion of IoT service provides many advantages, it also causes security problems such as data leakage and modulation, so research on security response strategies is being actively carried out. In this paper, the IoT-based road construction risk management system in outdoor environment is proposed as a research subject. As a result of investigating the security vulnerabilities of the low-power wide-area (LPWA, BLE) communication protocol applied to the research targets, the security vulnerabilities were identified in terms of confidentiality, integrity, and availability, which are the three major elements of information security, and countermeasures for each vulnerability were proposed. This study is meaningful in investigating and analyzing possible vulnerabilities in the operation of the IoT-based risk management system and proposing practical security guidelines for each vulnerability.