• Journal of Internet Computing and Services
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• v.12 no.5
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• pp.39-46
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• 2011

The user authentication on the security applications is one of the most important process. Because character based password is commonly used for user authentication, it is most important to protect the keyboard. Due to the reason, several software solutions for keyboard security have been applied to critical sites. This paper introduces vulnerabilities to the commonly used USB keyboard, implements a sample code using the vulnerabilities and evaluates the possibility for the keyboard data to be stolen in the guarded environment. Through the comparison of the result, a countermeasure to the vulnerabilities is proposed.

• The Journal of Information Systems
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• v.14 no.3
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• pp.23-30
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• 2005

Computer attacks on vulnerable software are ubiquitous. Today's attacks on client PCs can be used to create armies of zombie computers that are capable of wide reach attacks on high profile businesses and governments. The simple act of patching software vulnerabilities will certainly mitigate this problem, but patching has its own set of problems. Further, it is frequently the case that patches which are available to mitigate vulnerabilities are not being made on a timely basis and sometimes are not being made at all. One solution to the patch management dilemma is outsourcing. This paper notes that outsourcing is not a carte blanche decision that can be made based on dollars, but rather that a contingency decision matrix can provide guidance on outsourcing solutions for patch management and other security components as well. The matrix recognizes that IS staff expertise and employee security awareness are two important factors in the outsourcing decision.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.3
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• pp.189-195
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• 2020

Smart contract, one of the applications of blockchain, is expected to be used in various industries. However, there is risks of damages caused by attacks on vulnerabilities in smart contract codes. Tool support is essential to detect vulnerabilities, and as new vulnerabilities emerge and smart contract implementation languages increase, the tools must have extensibility for them. We propose a design model for extensible architecture of smart contract vulnerability detection tools that detect vulnerabilities in smart contract source codes. The proposed model is composed of design pattern-based structures that provides extensibility to easily support extension of detecting modules for new vulnerabilities and other implementation languages of smart contract. In the model, detecting modules are composed of independent module, so modifying or adding of module do not affect other modules and the system structure.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.4
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• pp.901-911
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• 2012

The removal of security vulnerabilities during the developmental stage is found to be much more effective and much more efficient than performing the application during the operational phase. The underlying security vulnerabilities in software have become the major cause of cyber security incidents. Thus, secure coding is drawing much attention for one of its abilities includes minimizing security vulnerabilities at the source code level. Removal of security vulnerabilities at the software's developmental stage is not only effective but can also be regarded as a fundamental solution. This thesis is a research about the methods of Mobile-Secure Coding Self Assessment in order to evaluate the security levels in accordance to the application of mobile secure coding of every individual, groups, and organizations.

• 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.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.4
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• pp.709-722
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• 2022

The recent "Log4j Security Vulnerability Incident" has occurred, and the information system that uses the open source "Log4J" has been exposed to vulnerabilities. The incident brought great vulnerabilities in the information systems of South Korea's major government agencies or companies and global information systems, causing problems with open source vulnerabilities. Despite the advantages of many advantages, the current development paradigm, which is developed using open source, can easily spread software security vulnerabilities, ensuring open source safety and reliability. You need to check the open source. However, open source vulnerability scan tools have various languages and functions. Therefore, the existing software evaluation criteria are ambiguous and it is difficult to evaluate advantages and weaknesses, so this paper has developed a new evaluation criteria for the vulnerability analysis tools of open source

• Convergence Security Journal
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• v.19 no.1
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• pp.87-95
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• 2019

The damage is increasing due to many encroachment accidents caused by increasingly sophisticated cyber attacks. Many institutions and businesses lack early response to invest a lot of resources in the infrastructure for incident detection. The initial response of an intrusion is to identify the route of attack, and many cyber attacks are targeted at software vulnerabilities. Therefore, analyzing the artifacts of a Windows system against software vulnerabilities and classifying the analyzed data can be utilized for rapid initial response. Therefore, the remaining artifacts upon entry of attacks by software are classified, and artifact grouping is presented for use in analysis of encroachment accidents.

• 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.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.4
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• pp.81-87
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• 2015

Recently, with the development of the ICT environment, the use of the software is growing rapidly. And the number of the web server software used with a variety of users is also growing. However, There are also various damage cases increased due to a software security vulnerability as software usage is increasing. Especially web shell hacking which abuses software vulnerabilities accounts for a very high percentage. These web server environment damage can induce primary damage such like homepage modification for malware spreading and secondary damage such like privacy. Source code weaknesses checking system is needed during software development stage and operation stage in real-time to prevent software vulnerabilities. Also the system which can detect and determine web shell from checked code in real time is needed. Therefore, in this paper, we propose the system improving security for web server by detecting web shell attacks which are invisible to existing detection method such as Firewall, IDS/IPS, Web Firewall, Anti-Virus, etc. while satisfying existing secure coding guidelines from development stage to operation stage.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.2
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• pp.327-333
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• 2014

The rapid expansion of the software industry has brought a serious security threat and vulnerability. Many softwares are constantly attacked by exploit codes using security vulnerabilities. Smart fuzzing is automated method to find software vulnerabilities. However, Many resources are consumed in fuzzing, because the fuzzing needs to create data model for target software and to analyze a data file and software binary. Therefore, The automated method for efficient smart fuzzing is needed to develop the automated data model. In this paper, through analysing the input file format and optimizing the data structure, we propose an efficient data modeling framework for smart fuzzing and implement the framework for detect software vulnerabilities.