• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.299-301
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• 2017

최근 다양한 산업들이 IT기술과 융합되어 비즈니스 환경이 변화하고, 핵심자산이 정보화됨에 따라 기업정보 유출의 위험성이 높아지고 있다. 이러한 유출 사건 사고는 끊임없이 증가하고 있기 때문에, 선행적으로 기업정보를 보호할 수 있는 보안환경이 구축되어야 한다. 이에 따라 기업정보 보안기술에 대한 연구와 투자는 꾸준히 증가하고 있으며, 다양한 보안 시스템이 개발되고 있다. 그러나 기업정보 보안기술에 대한 적절한 구분이 되어있지 않아 보안 시스템들이 서로 중복된 기능을 수행하고 있다. 중복된 기능의 보안 시스템 사용은 비용을 낭비할 뿐만 아니라, 효율적인 보안 관리를 하지 못하게 되는 문제가 발생한다. 따라서 본 논문에서는 이러한 문제점을 해결하고 균형 잡힌 기업정보 보안 시스템의 발전을 위해 선행연구를 통해 기업정보 보안 시스템에 관한 분류체계를 설계하였다. 향후 이 분류체계를 기반으로 메타분석을 실시하여, 그동안 진행된 기업정보 보안 시스템 분야에 대한 연구동향을 파악하고 학술적으로 연구자들에게 연구 방향성을 제시하고자 한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.8C
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• pp.838-848
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• 2005

Most of the national critical key infrastructure, such as power, piped gas and water supply facilities, or the high-speed railroad, is run on the SCADA system. Recently, concerns have been raised about the possibility of these facilities being attacked by cyber terrorists, hacking, or viruses. Thus, it is time to adopt the relevant security management techniques. This paper attempts to propose such security management techniques, including information protection measures and troubleshooting, based on a risk analysis process concerning assets, threats/vulnerability, and hazards, and to examine the security management status of critical key infrastructure in the U.S. and Japan.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.12B
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• pp.1481-1488
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• 2011

Recently, Hacking Attacks are appearing as a various Attack techniques with evolution of the Network. and most of the network through a Various Security Systems are responding to an attack. In addition, it should be placed adding the Security Systems to protect the Internal Network's Information assets from External attacks. But, The use of Security Systems inside the network makes a significant impact on Security and Performance, as well as a result causes Economic Additional Costs. Therefore, In this paper, it will be to analyze by associated a case study and experimental results about the Additional Costs Factors(Variable situations difficult to predict and Information Security Recognition levels, Security Systems, Information Asset Assessment). This is expected to serve as a valuable Information for the Reduction of an Costs in a Network deployment and Design in a future.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.2
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• pp.229-244
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• 2024

Recently, supply chain attacks against nuclear facilities such as "Evil PLC" are increasing due to the application of digital technology in nuclear power plants such as the APR1400 reactor. Nuclear supply chain security requires a asset management system that can systematically manage a large number of providers due to the nature of the industry. However, due to the nature of the control system, there is a problem of inconsistent management of attribute information due to the long lifecycle of software assets. In addition, due to the availability of the operational technology, the introduction of automated configuration management is insufficient, and limitations such as input errors exist. This study proposes a systematic asset management system using SBOM(Software Bill Of Materials) and an improvement for input errors using natural language processing techniques.

• Information Systems Review
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• v.22 no.4
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• pp.135-161
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• 2020

With the growth of blockchain and cryptocurrency-related markets, cryptocurrency exchanges are growing as a new industry. However, as the legal and regulatory definitions of cryptocurrencies are still in progress, unlike existing industrial groups, they are not under the supervision of regulatory agencies. As a result, users (i.e., cryptocurrency investors) have suffered two types of damage that could occur from hacking and other accidents on the exchanges. One type of the damage is the loss of assets caused by the extortion of personal information or account and the other is the damage from users who might be involved in external frauds. Both are analyzed in comparison with existing operators whose functions are like the exchanges. The results of this study show that membership (KYC: Know Your Client), log-in, and additional authentication in transactions are on the similar level to those of the operators while the fraud detection system (FDS) and anti-money laundering (AML) of fiat currencies and cryptocurrencies need rapid improvement.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.13 no.4
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• pp.13-28
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• 2003

The Protection Profile(PP) is a common security function and detailed statement of assurance requirements in a specific class of Information Technology security products such as firewall and smart card. The parts of TOE security environment in the PP have to be described about assumption, treat and security policy through analyzing purpose of TOE. In this paper, we present a new security policy derivation among TOE security environment parts in the PP. Our survey guides the organizational security policy statements in CC scheme through collected and analyzed hundred of real policy statements from certified and published real PPs and CC Toolbox/PKB that is included security policy statements for DoD. From the result of the survey, we present a new generic organizational policy statements list and propose a organizational security policy derivation method by using the list.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.2
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• pp.225-238
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• 2012

Among the various security threats in online games, the use of game bots is the most serious problem. In this paper, we propose a framework for user behavior analysis for bot detection in online games. Specifically, we focus on party play that reflects the social activities of gamers: In a Massively Multi-user Online Role Playing Game (MMORPG), party play log includes a distinguished information that can classify game users under normal-user and abnormal-user. That is because the bot users' main activities target on the acquisition of cyber assets. Through a statistical analysis of user behaviors in game activity logs, we establish the threshold levels of the activities that allow us to identify game bots. Also, we build a knowledge base of detection rules based on this statistical analysis. We apply these rule reasoner to the sixth most popular online game in the world. As a result, we can detect game bot users with a high accuracy rate of 95.92%.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.9-11
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• 2022

In order to sustain and revitalize the fourth industrial revolution and data economy, the world's first 'data basic law' has been enacted and implemented in Korea.,However, the law prioritizes the activation of data industry and the activation of data production, distribution and use that deals with the protection of data assets, so it can be applied and interpreted more than the Personal Information Protection Act or the Copyright Act.,In this paper, the main contents of the data basic law are examined and the personal information issue is considered.

• Journal of the Korea Society of Computer and Information
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• v.29 no.6
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• pp.69-76
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• 2024

Recent advances in sensor and mobile technologies have made it possible to collect user location data. This location information is used as a valuable asset in various industries, resulting in increased demand for location data collection and sharing. However, because location data contains sensitive user information, indiscriminate collection can lead to privacy issues. Recently, geo-indistinguishability (Geo-I), a method of differential privacy, has been widely used to protect the privacy of location data. While Geo-I is powerful in effectively protecting users' locations, it poses a problem because the utility of the collected location data decreases due to data perturbation. Therefore, this paper proposes a method using Geo-I technology to effectively collect user location data while maintaining its data utility. The proposed method utilizes the prior distribution of users to improve the overall data utility, while protecting accurate location information. Experimental results using real data show that the proposed method significantly improves the usefulness of the collected data compared to existing methods.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.5
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• pp.1179-1189
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• 2019

Cyber security evaluation is a series of processes that estimate the level of risk of assets and systems through asset analysis, threat analysis and vulnerability analysis and apply appropriate security measures. In order to prepare for increasing cyber attacks, systematic cyber security evaluation is required. Various indicators for measuring cyber security level such as CWSS and CVSS have been developed, but the quantitative method to apply appropriate security measures according to the risk priority through the standardized security evaluation result is insufficient. It is needed that an Scoring system taking into consideration the characteristics of the target assets, the applied environment, and the impact on the assets. In this paper, we propose a quantitative risk assessment model based on the analysis of existing cyber security scoring system and a method for quantification of assessment factors to apply to the established model. The level of qualitative attribute elements required for cyber security evaluation is expressed as a value through security requirement weight by AHP, threat influence, and vulnerability element applying probability. It is expected that the standardized cyber security evaluation system will be established by supplementing the limitations of the quantitative method of applying the statistical data through the proposed method.