• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.6
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• pp.147-155
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• 2010

It has been widely addressed that static analysis techniques can play important role in identifying potential security vulnerability reside in source code. This paper proposes the design and application of security metrics that use both vulnerability information extracted from the static analysis, and significant factors of information that software handles. The security metrics are useful for both developers and evaluators in that the metrics help them identity source code vulnerability in early stage of development. By effectively utilizing the security metrics, evaluators can check the level of source code security, and confirm the final code depending on the characteristics of the source code and the security level of information required.

• Journal of Multimedia Information System
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• v.8 no.4
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• pp.259-266
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• 2021

Security vulnerabilities have been reported in major design software systems such as Adobe Photoshop and Illustrator, which are recognized as de facto standard design tools in most of the design industries. Companies need to evaluate and manage their risk levels posed by those vulnerabilities, so that they could mitigate the potential security bridges in advance. In general, security vulnerabilities are discovered throughout their life cycles repeatedly if software systems are continually used. Hence, in this study, we empirically analyze risk levels for the three major graphical design software systems, namely Photoshop, Illustrator and GIMP with respect to a software vulnerability discovery model. The analysis reveals that the Alhazmi-Malaiya Logistic model tends to describe the vulnerability discovery patterns significantly. This indicates that the vulnerability discovery model makes it possible to predict vulnerability discovery in advance for the software systems. Also, we found that none of the examined vulnerabilities requires even a single authentication step for successful attacks, which suggests that adding an authentication process in software systems dramatically reduce the probability of exploitations. The analysis also discloses that, for all the three software systems, the predictions with evenly distributed and daily based datasets perform better than the estimations with the datasets of vulnerability reporting dates only. The observed outcome from the analysis allows software development managers to prepare proactively for a hostile environment by deploying necessary resources before the expected time of vulnerability discovery. In addition, it can periodically remind designers who use the software systems to be aware of security risk, related to their digital work environments.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.10
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• pp.1392-1397
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• 2018

Nuclear power plants(NPPs) are protected as core facilities managed by major countries. Applying general IT technology to facilities of NPPs, the proportion of utilizing the digitized resources for the rest of the assets except for the existing installed analog type operating resources is increasing. Using the network to control the IT assets of NPPs can provide significant benefits, but the potential vulnerability of existing IT resources can lead to significant cyber security breaches that threaten the entire NPPs. In this paper, we analyze the nuclear cyber security vulnerability regulatory requirements, characteristics of existing vulnerability scanners and their requirements and investigate commercial and free vulnerability scanners. Based on the proposed application method, we can improve the efficiency of checking the network security vulnerability of NPPs when applying vulnerability scanner to NPPs.

• Convergence Security Journal
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• v.13 no.4
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• pp.11-17
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• 2013

All u-Health system has security vulnerabilities. This vulnerability locally(local) or network(network) is on the potential risk. Smart environment of health information technology, Ad-hoc networking, wireless communication environments, u-health are major factor to increase the security vulnerability. u-health care information systems user terminal domain interval, interval public network infrastructure, networking section, the intranet are divided into sections. Health information systems by separating domain specific reason to assess vulnerability vulnerability countermeasure for each domain are different. u-Healthcare System 5 layers of security risk assessment system for domain-specific security vulnerability diagnosis system designed to take the security measures are needed. If you use this proposed model that has been conducted so far vaguely USN-based health information network security vulnerabilities diagnostic measures can be done more systematically provide a model.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.757-759
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• 2024

Software vulnerabilities represent security weaknesses in software systems that attackers exploit for malicious purposes, resulting in potential system compromise and data breaches. Despite the increasing prevalence of these vulnerabilities, manual repair efforts by security analysts remain time-consuming. The emergence of deep learning technologies has provided promising opportunities for automating software vulnerability repairs, but existing AIbased approaches still face challenges in effectively handling complex vulnerabilities. This paper explores the potential of large language models (LLMs) in addressing these limitations, examining their performance in code vulnerability repair tasks. It introduces the latest research on utilizing LLMs to enhance the efficiency and accuracy of fixing security bugs.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.5
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• pp.725-730
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• 2017

The use of general IT resources in the Instrumentation and Control system(I&C) for the safety of Nuclear Power Plants(NPPs) is increasing. As a result, potential security vulnerabilities of existing IT resources may cause cyber attack to NPPs, which may cause serious consequences not only to shutdown of NPPs but also to national disasters. In order to respond to this, domestic nuclear regulatory agencies are developing guidelines for regulating nuclear cyber security regulations and expanding the range of regulatory targets. However, it is necessary to take measures to cope with not only general security problems of NPPs but also attacks specific to NPPs. In this paper, we select 42 items related to the vulnerability inspection in the contents defined in R.G.5.71 and classify it into 5 types. If the vulnerability inspection tool is developed based on the proposed analysis, it will be possible to improve the inspection efficiency of the cyber security vulnerability of the NPPs.

• 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 Korea Multimedia Society
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• v.24 no.3
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• pp.440-447
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• 2021

Smartphones are currently being produced with similar functions, shapes, and software. The foldable smartphone is a product that dramatically changed the shape of the existing smartphone. Therefore, it affects the functions and software. In this paper, we analyze the potential security vulnerability of current mobile authentication methods by dividing them into two parts, security vulnerabilities of non-foldable smartphones, and security vulnerability that appears with the changed smartphone structure. According to the analysis result, the classic and current mobile user authentication methods appears to be easily affected by the smartphone display structure. Finally, we propose an appropriate authentication method as well as the concept of security measures for smartphones with foldable screen. Our method shows that it is more secure than the conventional authentication methods in foldable display smartphone.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.6
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• pp.1225-1236
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• 2020

Fuzzing is an automated software testing methodology that dynamically tests the security of software by inputting randomly generated input values outside of the expected range. KISA is releasing open source for standard cryptographic algorithms, and many crypto module developers are developing crypto modules using this source code. If there is a vulnerability in the open source code, the cryptographic library referring to it has a potential vulnerability, which may lead to a security accident that causes enormous losses in the future. Therefore, in this study, an appropriate security policy was established to verify the safety of block cipher source codes such as SEED, HIGHT, and ARIA, and the safety was verified using differential fuzzing. Finally, a total of 45 vulnerabilities were found in the memory bug items and error handling items, and a vulnerability improvement plan to solve them is proposed.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.6
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• pp.1523-1537
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• 2018

The AI speaker is a simple operation that provides users with useful functions such as music playback, online search, and so the AI speaker market is growing at a very fast pace. However, AI speakers always wait for the user's voice, which can cause serious problems such as eavesdropping and personal information exposure if exposed to security threats. Therefore, in order to provide overall improved security of all AI speakers, it is necessary to identify potential security threats and analyze them systematically. In this paper, security threat modeling is performed by selecting four products with high market share. Data Flow Diagram, STRIDE and LINDDUN Threat modeling was used to derive a systematic and objective checklist for vulnerability checks. Finally, we proposed a method to improve the security of AI speaker by comparing the vulnerability analysis results and the vulnerability of each product.