• 한국정보시스템학회지:정보시스템연구
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• 제27권1호
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• pp.193-224
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• 2018

Purpose Targeting Korean companies listed on Korean securities markets (i.e., KOSPI and KOSDAQ markets), this study aims to shed lights the effects of personal information security breaches on stock prices of information security companies. Interestingly, this study is, to the best of our knowledge, the first to examine the information transfer effect on personal information security breaches of companies. Design / Methodology /Approach To examine the information transfer effect of personal information security breaches, our study employs the event study commonly used in financial studies. To this end, we investigate a variety of events of personal information security breaches of companies listed on the KOPSI stock market and the KOSDAQ market. We collect the total samples of one hundred and twelve with forty seven of events of personal information security breaches by thirty companies and sixty five of information security companies. Findings The principal findings from the empirical study are as follows. First, for companies of personal information security breaches, our event study presents the significantly negative AAR (averaged abnormal return) value on the event day at the 5 % level and the highly significant negative CAAR(cumulative averaged abnormal return) value on the event day and the day after the event day at the 1 % level. The results suggest that personal information breaches significantly contribute to an decrease in value of the information breached companies. The cross sectional regressions in this study estimate the significantly negative coefficient for the ME/BE variable, the proxy for a growth opportunity at the 5 % level. This suggests a reverse relation between the growth opportunity of companies and their value. As for the various samples of the information security companies categorized by physical security, network and system security, security application software, code authentication, system integration, we find the significantly positive AAR on the day after the event day at the 5% level, only for the network and system security-companies. This addresses that the information transfer effect followed by personal information breaches is uniquely observable for companies categorized into network and system companies. The regressions for the network and system companies estimate the significantly positive coefficient for the NS dummy variable (i.e., the dummy of the network and system security companies) at the standard level. This allows us to identify appropriate times needed to make the information transfer effect realized from personal information breached companies to information security companies.

• 정보보호학회논문지
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• 제19권4호
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• pp.63-75
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• 2009

해킹에 의한 개인정보의 유출 또는 기업의 관리 소홀로 인한 개인정보 유 노출 등의 침해사고가 다양한 형태로 발생하고 있으며, 이로 인한 피해범위도 확대되고 있다. 개인정보 유 노출 사고의 발생시 기업의 손실비용을 산출하는 일은 정보보호 투자에 대한 의사결정을 위해 필요하다. 본고는 개인정보 유 노출 사고로 인한 기업의 직접적이고 정량적인 손실비용 산출방안을 제시하고자 한다. 먼저 개인정보 침해사고에 의해 발생할 수 있는 손실비용을 범주에 따라 분류하고, 비용을 구성하는 요소들을 구체적으로 분석하였다. 또한 제시된 모형으로 2005${\sim}$2007년 동안 국내에서 발생한 개인정보 유 노출 사고의 손실을 추정하였고, 이를 일본의 사례와 비교 분석하여 시사점을 도출하였다.

• 정보보호학회논문지
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• 제28권1호
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• pp.199-213
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• 2018

2008년부터 대규모 개인정보 유출사고들이 빈번히 발생하면서 이를 해결하고자 국가적 차원의 교육, 정책, 법률 등이 제정 및 시행되고 있다. 현재까지 개인정보 침해와 유출사고는 지속적으로 발생하고 있지만, 개인이 개인정보 침해에 대한 상세 정보를 확인하고 추정 및 대처 할 수 가 없는 실정이다. 이에 본 연구는 개인 정보 침해 및 유출사고 등 개인정보 침해에 예방 및 대응하기 위한 여러 가지 방법 중 일반인을 대상으로 하여 개인정보 침해에 관한 정보가 제공 및 전달된다면, 개인은 개인정보 침해 정보를 얼마나 받아들이고 개인정보보호 행동으로 옮겨질지에 대하여 연구하고자 한다. 개인정보 침해와 관련된 정보를 제공하는 것이 어떠한 의미를 가지고 있으며, 어떠한 기능을 수행해야 하는지 정의하고, 정보 제공에 대한 일반인의 수용 영향에 대하여 분석하고자 한다. 이를 통해 개인정보 관련 정보 제공에 대한 필요성 및 가이드라인을 제시하고, 개인의 주동적인 정보보호 활동을 장려하는데 도움이 되고자 한다.

• Journal of Multimedia Information System
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• 제7권3호
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• pp.215-220
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• 2020

Many state agencies and companies collect personal data for the purpose of providing public services and marketing activities and use it for the benefit and results of the organization. In order to prevent the spread of COVID-19 recently, personal data is being collected to understand the movements of individuals. However, due to the lack of technical and administrative measures and internal controls on collected personal information, errors and leakage of personal data have become a major social issue, and the government is aware of the importance of personal data and is promoting the protection of personal information. However, theory-based training and document-based intrusion prevention training are not effective in improving the capabilities of the privacy officer. This study analyzes the processing steps and types of accidents of personal data managed by the organization and describes measures against personal data leakage and misuse in advance. In particular, using Capture the Flag (CTF) scenarios, an evaluation platform design is proposed to respond to personal data breaches. This design was proposed as a troubleshooting method to apply ISMS-P and ISO29151 indicators to reflect the factors and solutions to personal data operational defects and to make objective measurements.

• 한국멀티미디어학회논문지
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• 제18권2호
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• pp.178-188
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• 2015

The proliferation of devices such as tablets and smart phones, which are now used by many people in their daily lives, has led to a number of companies allowing employees to bring their own devices to work due to perceived productivity gains and cost savings. However, despite many advantage, security breaches (e.g., information leakage) can happen for various reasons (e.g., loss or theft of devices, and malicious code) and privacy breaches can happen by using personal devices for business. We should carefully scrutinize security threats in this area. We present the security threats analysis and the technical approach in this area, and discuss privacy threats and countermeasures.

• Journal of Information Processing Systems
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• 제20권4호
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• pp.524-534
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• 2024

The release of relational data containing personal sensitive information poses a significant risk of privacy breaches. To preserve privacy while publishing such data, it is important to implement techniques that ensure protection of sensitive information. One popular technique used for this purpose is data perturbation, which is popularly used for privacy-preserving data release due to its simplicity and efficiency. However, the data perturbation has some limitations that prevent its practical application. As such, it is necessary to propose alternative solutions to overcome these limitations. In this study, we propose a novel approach to preserve privacy in the release of relational data containing personal sensitive information. This approach addresses an intuitive, syntactic privacy criterion for data perturbation and two perturbation methods for relational data release. Through experiments with synthetic and real data, we evaluate the performance of our methods.

• 전자통신동향분석
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• 제37권4호
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• pp.36-45
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• 2022

As the interest in achieving an intelligent society grows with the fourth industrial revolution's development, information and communications technologies technologies like artificial intelligence (AI), Internet of Things, virtual reality, information security, and blockchain technology are being actively employed in different fields for achieving an intelligent society. With these modifications, the information security paradigm in industrial and public institutions, like personal sensitive data, is quickly changing, and it is exposed to different cyber threats and breaches. Furthermore, as the number of cyber threats and breaches grows, so does the need for rapid detection and response. This demand can be satisfied by establishing cyber training programs and fostering experts that can improve cyber security abilities. In this study, we explored the domestic and international technology trends in cyber security education and training facilities for developing experts in information security. Additionally, the AI technology application in the cyber training ground, which can be established to respond to and deter cyber threats that are becoming more intelligent, was examined.

• 한국전자거래학회지
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• 제18권1호
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• pp.1-12
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• 2013

온라인 환경에서 개인정보의 사용 빈도가 많아짐과 동시에 제 3자에 의한 개인정보 수집 및 저장의 가능성도 높아지고 있다. 인터넷 서비스 제공에 사용되는 개인정보는 본인이 원하지 않는 용도로 사용되나 타인에게 유출되는 경우 뜻하지 않는 추가피해를 불러올 수 있다. 비록 개인정보 관리 제도의 개선이 이루어지고 있으나 여전히 개인정보의 유출 사례를 주변에서 손쉽게 찾아볼 수 있다. 개인정보보호에 관한 보다 합당한 투자 근거를 제시하기 위해서는 개인정보 유출로 인해 발생될 수 있는 피해의 측정이 선행되어야 한다. 본 논문은 해당 측정 방법의 하나인 개인정보 유출을 겪은 기업의 주가 변화를 측정하여 개인정보보호법 시행 이전보다 개인정보 보안과 관련한 인식이 개선되었는지 검증한다. 실증분석의 결과는 제도적 개선이 이루어지고 있음에도 불구하고 자본시장에서의 개인정보 유출로 인한 피해 인식은 크게 변화되지 않고 있음을 확인해 주고 있다. 여전히 주기적으로 발생하는 정보 보안 사건의 적극적 예방을 위해서는 그 피해액의 산정에 있어 개인의 추가 피해 가능성을 광범위하게 인정하는 전향적인 태도와 함께 피해 배상에 대한 의무를 명확히 인식할 수 있도록 추가적인 개선이 선행되어야 할 것으로 판단된다.

• International journal of advanced smart convergence
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• 제10권4호
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• pp.22-29
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• 2021

For web application vulnerability diagnosis, from the development stage to the operation stage, it is possible to stably operate the web only when there is a policy that is commonly applied to each task through diagnosis of vulnerabilities, removal of vulnerabilities, and rapid recovery from web page damage. KISA presents 28 evaluation items for technical vulnerability analysis of major information and communication infrastructure. In this paper, we diagnose the vulnerabilities in the automobile goods shopping mall website and suggest security measures according to the vulnerabilities. As a result of diagnosing 28 items, major vulnerabilities were found in three items: cross-site scripting, cross-site request tampering, and insufficient session expiration. Cookie values were exposed on the bulletin board, and personal information was exposed in the parameter values related to passwords when personal information was edited. Also, since the session end time is not set, it was confirmed that session reuse is always possible. By suggesting security measures according to these vulnerabilities, the discovered security threats were eliminated, and it was possible to prevent breaches in web applications and secure the stability of web services.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 춘계학술대회
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• pp.257-260
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• 2014

디지털 포렌식은 사고 발생 시 시스템 파일을 복원 하여 증거 자료를 찾는 유일한 수단이며 지금 일어나고 있는 KT 홈페이지 해킹, 카드사 3사 개인정보 유출 및 최근 일어난 스킨푸드 홈페이지 가입 고객 정보 유출 등 이러한 범죄를 저지른 해커를 찾기 위한 유일한 수단이기도 하다. 본 연구에서는 KT 홈페이지 해킹 공격에 시도한 우회 프로그램 및 자동화 프로그램을 활용하여 해킹을 시도했을 경우 어떤 정보가 유출 되었는가에 대한 실험과 이렇게 홈페이지 공격을 당 했을 경우 어떻게 포렌식을 해서 해커에 대한 증거 자료를 찾은 후 보고서를 만들 수 있는지에 대해 기술한다.