• Journal of Information Technology Applications and Management
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• v.22 no.2
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• pp.171-199
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• 2015

This study proposes the practical information security measures that help IT personnel of banks comply the information security policy. The research model of the study is composed of independent variables (clarity and comprehensiveness of policy, penalty, dedicated security organization, audit, training and education program, and top management support), a dependent variable (information security policy compliance intention), and moderating variables (age and gender). Analyses results show that the information security measures except 'clarity of policy' and 'training and education program' are proven to affect the 'information security policy compliance intention.' In case of moderating variables, age moderated the relationship between top management support and compliance intention, but gender does not show any moderating effect at all. This study analyzes information security measures based solely on the perception of the respondents. Future study may introduce more objective measurement methods such as systematically analyzing the contents of the information security measures instead of asking the respondents' perception. In addition, this study analyzes intention of employees rather than the actual behavior. Future research may analyze the relationship between intention and actual behavior and the factors affecting the relationship.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.1
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• pp.41-52
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• 2024

Security audits of IPsec VPNs are crucial for identifying vulnerabilities caused by implementation flaws or misconfigurations, as well as investigating incidents. Nevertheless, auditing IPsec VPN presents noteworthy challenge due to the encryptiong of network contents which ensere confidentiality, integrity, authentications and more. Some researchers have suggested using man-in-the-middle(MITM) techniques to overcome this challenge. MITM techniques require direct participation in the network and prior knowledge of the pre-shared key for authentication. This causes temporary network disconnection for security audits, and it is impossible to analyse data collected before the audit. In this paper, we present an analysis technique aimed at ensuring network continuity without relying on a specific IPsec VPN topologies or authentication method. Therefore, it is anticipated that this approach will be effective, practical and adaptable for conducting IPsec VPN security

• 한국IT서비스학회:학술대회논문집
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• 2003.05a
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• pp.145-152
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• 2003

본 연구의 선행 연구에서는 증권시스템의 기능점수를 직접 구하여 기능점수와 운영비용과의 회귀분석을 실시하였다. 수집된 자료의 건수가 적었던 관계로 통계적 유의성을 충분하게 확보하지 못하였다. 따라서 본 연구에서는 증권시스템의 기능점수를 직접 측정하는 것이 현실적으로 많은 제약이 있음을 감안하여, 비교적 자료 수집이 용이한 프로그램 본 수를 측정하였다. 이러한 프로그램 본 수는 스텝 수로 1차 변환이 되었고, 스텝 수는 다시 기능점수로 2차 변환이 되었다. 이렇게 변환된 기능점수와 운영비용과의 회귀분석을 실시하였으며, 증권정보시스템 운영비용 추정 모델을 제시하였다.

• Journal of Information Technology Services
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• v.15 no.3
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• pp.33-50
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• 2016

In a dynamic IT environment, employees often utilize external IT resources to work more efficiently and flexibly. However, the use of external IT resources beyond its control may cause difficulties in the company. This is known as "Shadow IT." In spite of efficiency gains or cost savings, Shadow IT presents problems for companies such as the outflow of enterprise data. To address these problems, appropriate measures are required to maintain a balance between flexibility and control. Therefore, in this study, we developed a new information security management system called AIIMS (Advanced IT service & Information security Management System) and the Shadow IT Evaluation Model. The proposed model reflects a Shadow IT's attributes such as innovativeness, effectiveness, and ripple effect. AIIMS consists of five fields: current analysis; Shadow IT management plans; management process; education and training; and internal audit. There are additional management items and sub-items within these five fields. Using AIIMS, we expect to not only mitigate the potential risks of Shadow IT but also create successful business outcomes. Now is the time to draw to the Light in the Shadow IT.

• Journal of Information Technology Services
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• v.21 no.4
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• pp.63-74
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• 2022

Globally researchers at medical institutions are actively sharing COHORT data of patients to develop vaccines and treatments to overcome the COVID-19 crisis. OMOP-CDM, a common data model that efficiently shares medical data research independently operated by individual medical institutions has patient personal information (e.g. PII, PHI). Although PII and PHI are managed and shared indistinguishably through de-identification or anonymization in medical institutions they could not be guaranteed at 100% by complete de-identification and anonymization. For this reason the security of the OMOP-CDM database is important but there is no detailed and specific OMOP-CDM security inspection tool so risk mitigation measures are being taken with a general security inspection tool. This study intends to study and present a model for implementing a tool to check the security vulnerability of OMOP-CDM by analyzing the security guidelines for the US database and security controls of the personal information protection of the NIST. Additionally it intends to verify the implementation feasibility by real field demonstration in an actual 3 hospitals environment. As a result of checking the security status of the test server and the CDM database of the three hospitals in operation, most of the database audit and encryption functions were found to be insufficient. Based on these inspection results it was applied to the optimization study of the complex and time-consuming CDM CSF developed in the "Development of Security Framework Required for CDM-based Distributed Research" task of the Korea Health Industry Promotion Agency. According to several recent newspaper articles, Ramsomware attacks on financially large hospitals are intensifying. Organizations that are currently operating or will operate CDM databases need to install database audits(proofing) and encryption (data protection) that are not provided by the OMOP-CDM database template to prevent attackers from compromising.

• Convergence Security Journal
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• v.17 no.1
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• pp.39-44
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• 2017

The existing enterprise information security activities were centered on the information security organization, and the top management considers information security and enterprise management to be separate. However, various kinds of security incidents are constantly occurring. In order to cope with such incidents, it is necessary to protect information in terms of business management, not just information security organization. In this study, we examine the existing corporate governance and IT governance, and present an information security governance model that can reflect the business goals of the enterprise and the goals of the management. The information security governance model proposed in this paper induces the participation of top management from the planning stage and establishes information security goals. We can strengthen information security activities by establishing an information security plan, establishing and operating an information security system, and reporting the results to top management through compliance audit, vulnerability analysis and risk management.

• Journal of the Korea Convergence Society
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• v.5 no.4
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• pp.93-99
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• 2014

Cloud computing refers to borrow IT resources as needed by leveraging Internet technology and pay as much as you used by supporting real-time scalability depending on the service load. Virtualization which is the main technology of cloud computing is a technology that server, storage and hardware are regarded as not separate system but one system area and are allocated as needed. However, the security mechanisms provided by virtualized environments are difficult to cope with the traditional security mechanisms, having basic levels of visibility, control and audit function, on which the server is designed to monitor the traffic between the servers. In this paper, the security vulnerabilities of virtualization are analysed in the cloud computing environment and cloud virtualization security recommendations are proposed.

• Convergence Security Journal
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• v.15 no.7
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• pp.85-96
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• 2015

In IT system, logs are an indicator of the previous key events. Therefore, when a security problem occurs in the system, logs are used to find evidence and solution to the problem. So, it is important to ensure the integrity of the stored logs. Existing schemes have been proposed to detect tampering of the stored logs after the key has been exp osed. Existing schemes are designed separately in terms of log transmission and storage. We propose a new log sys tem for integrating log transmission with storage. In addition, we prove the security requirements of the proposed sc heme and computational efficiency with existing schemes.

• Convergence Security Journal
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• v.24 no.2
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• pp.9-17
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• 2024

This paper examines the security threats to enterprise Generative Artificial Intelligence systems and proposes countermeasures. As AI systems handle vast amounts of data to gain a competitive edge, security threats targeting AI systems are rapidly increasing. Since AI security threats have distinct characteristics compared to traditional human-oriented cybersecurity threats, establishing an AI-specific response system is urgent. This study analyzes the importance of AI system security, identifies key threat factors, and suggests technical and managerial countermeasures. Firstly, it proposes strengthening the security of IT infrastructure where AI systems operate and enhancing AI model robustness by utilizing defensive techniques such as adversarial learning and model quantization. Additionally, it presents an AI security system design that detects anomalies in AI query-response processes to identify insider threats. Furthermore, it emphasizes the establishment of change control and audit frameworks to prevent AI model leakage by adopting the cyber kill chain concept. As AI technology evolves rapidly, by focusing on AI model and data security, insider threat detection, and professional workforce development, companies can improve their digital competitiveness through secure and reliable AI utilization.

• Convergence Security Journal
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• v.22 no.1
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• pp.121-127
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• 2022

Recently, social issues related to cryptocurrency mining are continuously occurring at the same time as cryptocurrency prices are rapidly increasing. In particular, since cryptocurrency can be acquired through cryptographic operation, anyone with a computer can easily try mining, and as the asset value of major cryptocurrencies such as Bitcoin and Ethereum in creases, public interest is increasing. In addition, the number of cases where individuals who own high-spec computers mine cryptocurrencies in various places such as homes and businesses are increasing. Some miners are mining at companies or public places, not at home, due to the heat problem of computers that consume a lot of electrical energy, causing various problems in companies as well as personal moral problems. Therefore, this study studies the technology to obtain evidence for the traces of mining attempts using the Windows artifacts of the computers that mined cryptocurrency. Through this, it is expected that it can be used for internal audit to strengthen corporate security.