• Journal of Multimedia Information System
• /
• v.8 no.4
• /
• pp.259-266
• /
• 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 Information Processing Systems
• /
• v.1 no.1 s.1
• /
• pp.75-78
• /
• 2005

Although many tests for stabilization of the software have been done, vulnerability test for a system run by combination of the software of various products has not been conducted enough. This has led to increased threats and vulnerability of system. Especially, web-based software system, which is public, has inherent possibility of exposure to attacks and is likely to be seriously damaged by an accident. Consequently, comprehensive and systematic test plans and techniques are required. Moreover, it is necessary to establish a procedure for managing and handling the results of vulnerability test. This paper proposes vulnerability test plans and designs for implementing automated tools, both of which can be complied with on web-based software systems.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.29 no.5
• /
• pp.973-983
• /
• 2019

The importance of information security has been increasingly emphasized at the national, organizational, and individual levels due to the widespread adoption of software applications. High-safety software, which includes embedded software, should run without errors, similar to software used in the airline and nuclear energy sectors. Software development techniques in the above sectors are now being used to improve software security in other fields. Secure coding, in particular, is a concept encompassing defensive programming and is capable of improving software security. In this paper, we propose a software security vulnerability detection method using an improved coding standard searching technique. Public static analysis tools were used to assess software security and to classify the commands that induce vulnerability. Software security can be enhanced by detecting Application Programming Interfaces (APIs) and patterns that can induce vulnerability.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.21 no.5
• /
• pp.945-950
• /
• 2017

Due to the vulnerability of the software, there is a hacking attack on the country's cyber infrastructure and real financial assets. Software is an integral part of the operating system and execution system that controls and operates Internet information provision, cyber financial settlement and cyber infrastructures. Analyzing these software vulnerabilities and enhancing security will enhance the security of cyber infrastructures and enhance the security of actual life in the actual country and people. Software development security system analysis and software development Security diagnosis analysis and research for enhancing security of software vulnerability. In addition, we will develop a textbook for the training of software vulnerability diagnosis and maintenance education, develop pilot test problems, pilot test of diagnostic staff, The purpose of this study is to enhance the software security of the cyber infrastructures of national and national life by presenting curriculum and diagnosis guide to train the software vulnerability examiner.

• Journal of the Korea Society of Computer and Information
• /
• v.20 no.8
• /
• pp.69-75
• /
• 2015

Nowadays, software plays various roles in applications in wide areas. However, the security problems caused by software vulnerabilities increase. So, it is necessary to improve software security and safety in software execution. In this paper, we propose an approach to improve the safety of software execution by managing information used in software through static data access analysis. The approach can detect the exposures of secure data in software execution by analyzing information property and flows through static data access analysis. In this paper, we implemented and experimented the proposed approach with a base language, and verify that the proposed approach can effectively detect the exposures of secure information. The proposed approach can be applied in several areas for improving software safety by analysing vulnerabilities from information flows in software execution.

• Journal of Internet Computing and Services
• /
• v.9 no.6
• /
• pp.49-62
• /
• 2008

AV (Atomic Vulnerability) is a conceptual definition representing a vulnerability in a systematic way, AVs are defined with respect to its type, location, and result. It is important information for meaning based vulnerability analysis method. Therefore the existing vulnerability can be expressed using multiple AVs, CVE (common vulnerability exposures) which is the most well-known vulnerability information describes the vulnerability exploiting mechanism using natural language. Therefore, for the AV-based analysis, it is necessary to search specific keyword from CVE's description and classify it using keyword and determination method. This paper introduces software design and implementation result, which can be used for atomic vulnerability analysis. The contribution of this work is in design and implementation of software which converts informal vulnerability description into formal AV based vulnerability definition.

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

• KIPS Transactions on Software and Data Engineering
• /
• v.5 no.3
• /
• pp.139-144
• /
• 2016

When, Software is developed, Applying development methods considering security, it is generated the problem of additional cost. These additional costs are caused not consider security in many developing organization. Even though, proceeding the developments, considering security, lack of ways to get the cost of handling the vulnerability throughput within the given cost. In this paper, propose a method for calculating the vulnerability throughput for using a security vulnerability processed cost-effectively. In the proposed method focuses on the implementation phase of the software development phase, leveraging static analysis tools to find security vulnerabilities in CWE TOP25. The found vulnerabilities are define risk, transaction costs, risk costs and defines the processing priority. utilizing the information in the CWE, Calculating a consumed cost in a detected vulnerability processed through a defined priority, and controls the vulnerability throughput in the input cost. When applying the method, it is expected to handle the maximum risk of vulnerability in the input cost.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2014.11a
• /
• pp.464-465
• /
• 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 Multimedia Information System
• /
• v.9 no.3
• /
• pp.191-200
• /
• 2022

These days, businesses, in both online and offline, have started accepting cryptocurrencies as payment methods. Even in countries like El Salvador, cryptocurrencies are recognized as fiat currencies. Meanwhile, publicly known, but not patched software vulnerabilities are security threats to not only software users but also to our society in general. As the status of cryptocurrencies has gradually increased, the impact of security vulnerabilities related to cryptocurrencies on our society has increased as well. In this paper, we first analyze vulnerabilities from the two major cryptocurrency vendors of Bitcoin and Ethereum in a quantitative manner with the respect to the CVSS, to see how the vulnerabilities are roughly structured in those systems. Then we introduce a modified AML vulnerability discovery model for the vulnerability datasets from the two vendors, after showing the original AML dose not accurately represent the vulnerability discovery trends on the datasets. The analysis shows that the modified model performs better than the original AML model for the vulnerability datasets from the major cryptocurrencies.