• 한국산업보건학회지
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• 제24권1호
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• pp.79-90
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• 2014

Objectives: The aim of this study was to suggest preliminary data for the establishment of communication methodology of asbestos risk, fit for the features of each audiences, by grasping the features of risk communication by each element for each group survey. Methods: For this study, a questionnaire survey has been conducted from May to August 2012 and responses of 617 people including 214 school asbestos managers, 95 asbestos business managers, and 308 general public have been analyzed. Results: The feature by element of risk communication shows that to give information through non-governmental organizations with reliability such as colleges, research institutes, asbestos-related associations, etc among the entire investigated groups, is most effective. Lastly, for stakeholders related to asbestos, the public feedback for governmental asbestos management policy shows that it was considered that there is lack of reality due to comprehension deficit for situation, lack of a system of asbestos general management in the country and lack of policy connectivity among the branches of the government, and between the central government and the local government. However, the general public selected lack of various information disclosure, education, publicity for asbestos and lack of communication with citizens as the biggest problems.

• 인터넷정보학회논문지
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• 제16권4호
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• pp.131-139
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• 2015

최근 들어 주춤하고 있는 경제성장을 증진하기 위한 주요 추진 동력으로 공공데이터 활용이 주요 이슈로 부각되고 있다. 공공데이터를 적극 제공하여 분석결과를 활용함으로써, 국민의 편익을 향상시키고 사회적 문제를 해결하거나 신규산업을 창의적으로 창출하고자 하는 것이다. 반면 기관들은 민감한 데이터의 개방에 부담을 느끼고 있으며, 개방의 실익에는 다소 회의적이다. 하지만, 상호이해가 부족함에도 불구하고 행정자치부와 한국정보화진흥원은 민간 활용 중심의 데이터 개방을 더욱 가속화 시킬 계획이다. 본 연구는 공공데이터 개방 및 활용에 대해 기관이 인식하는 혜택, 기회, 비용 및 위험 요소들의 상호 가중치를 파악하였다, 공공데이터를 제공하는 방식에 따라 네 가지 요소의 가중치 변화를 분석하여 시사점을 제공하는데 목적을 둔 것이다. 공공데이터 개방 및 공유에 대한 기관의 인식과 대안을 ANP의 BOCR 모형을 적용해 분석하였다. 분석결과 공공데이터 보유 기관과 외부 이해관계자의 우선순위가 다름을 확인하였다. 또한 혜택, 기회, 비용, 위험의 세부적 요소에 대한 우선순위를 파악하고 시사점을 제시하였다. 마지막으로 네 가지 요소별 관점에서 이상적인 대안을 제시하고 공공데이터 활용을 추진하기 위한 제언을 제공하였다. 본 연구결과는 공공데이터 개방 및 제공을 고심하고 있는 공공기관들에게 의사결정을 위한 참조자료로 활용될 수 있을 것이며, 정책입안자 및 관계자들이 데이터 개방에 대한 기관들의 인식을 확인하는 자료로 참조될 수 있을 것이다.

• 응용통계연구
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• 제36권2호
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• pp.141-166
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• 2023

재현자료를 생성하여 배포하는 것은 데이터 공개에 따른 정보 유출의 위험을 방지하는 대표적인 방법이다. 최근 산업에서 데이터의 활용이 중요해진 만큼 한국을 포함한 많은 국가 및 기관에서 재현자료에 관한 연구가 활발히 진행되고 있다. 본 논문에서는 대표적인 재현자료 생성 기법들과 평가 지표들을 소개한다. 전통적인 재현자료 생성 방법인 다중대체와 최근 제시된 인공신경망 기반의 재현자료 생성 방법 등을 활용하여 재현자료를 생성하는 과정을 기술함에 따라 재현자료 생성 방법에 대한 전반적인 이해를 돕는다. 이에 더해 다양한 재현자료 평가 지표를 바탕으로 생성된 재현자료들을 분석 및 비교함에 따라 앞으로의 연구에 대한 방향을 제시하고 그에 대한 토대를 마련하고자 한다.

• 한국정보기술응용학회:학술대회논문집
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• 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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• pp.259-262
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• 2005

This paper addresses the problem of protecting security policies in security mechanisms, such as the detection policy of an Intrusion Detection System. Unauthorized disclosure of such information might reveal the fundamental principles and methods for the protection of the whole network. In order to avoid this risk, we suggest two schemes for protecting security policies in Snort using the symmetric cryptosystem, Triple-DES.

• 정보과학회 컴퓨팅의 실제 논문지
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• 제22권9호
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• pp.441-448
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• 2016

의료 정보시스템에서 널리 이용되는 역할기반접근제어는 승인된 권한을 오용/남용하여 비정상적인 접근 시도가 가능하다. 이를 해결하기 위해서는 접근 요청이 얼만큼의 위험도를 가지고 있는지 치료정보에 기반한 위험도의 평가가 필요하다. 따라서, 본 논문에서는 환자의 치료정보와 접근되는 정보객체간의 네트워크 연관성 분석을 수행하여 치료정보기반 위험도 평가 방법을 제안하고자 한다. 즉, 위험도 산출은 업무와 관련이 적은 접근의 탐지와 내부자의 정보 유출 위협을 판단할 수 있는 초기 지표로 활용하였고, 분석의 정확도 검증을 위하여 실제 의료정보시스템의 대용량 실증 데이터를 활용하였다.

• 유통과학연구
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• 제19권1호
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• pp.27-35
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• 2021

Purpose: This study is to investigate the effect of managerial ownership level in distribution and service companies on the stock price crash. The managerial ownership level affects the firm's information disclosure policy. If managers conceal or withholds business-related unfavorable factors over a long period, the firm's stock price is likely to plummet. In a similar vein, management's equity affects information opacity, and information asymmetry affects stock price collapse. Research design, data, and methodology: A regression analysis is conducted using the data on companies listed on the Korea Composite Stock Price Index (KOSPI) between 2012-2017 to examine the effect of the managerial ownership level on stock price crash risks. Results: Logistic and regression results indicate that the stock price crash risk was reduced as managerial ownership levels are increased. The managerial ownership level has a significant negative coefficient on stock price crash risk, negative conditional return skewness of firm-specific weekly return distribution, and asymmetric volatility between positive and negative price-to-earnings ratios. Conclusions: As the ownership and management align, the likeliness of withholding business-related information is reduced. This study's results imply that the stock price crash risk reduces as the managerial ownership level increases because shareholder and manager interests coincide, thereby reducing information asymmetry.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권9호
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• pp.2550-2572
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• 2023

Epidemiological survey is an important means for the prevention and control of infectious diseases. Due to the particularity of the epidemic survey, 1) epidemiological survey in epidemic prevention and control has a wide range of people involved, a large number of data collected, strong requirements for information disclosure and high timeliness of data processing; 2) the epidemiological survey data need to be disclosed at different institutions and the use of data has different permission requirements. As a result, it easily causes personal privacy disclosure. Therefore, traditional access control technologies are unsuitable for the privacy protection of epidemiological survey data. In view of these situations, we propose a black box-assisted fine-grained hierarchical access control scheme for epidemiological survey data. Firstly, a black box-assisted multi-attribute authority management mechanism without a trusted center is established to avoid authority deception. Meanwhile, the establishment of a master key-free system not only reduces the storage load but also prevents the risk of master key disclosure. Secondly, a sensitivity classification method is proposed according to the confidentiality degree of the institution to which the data belong and the importance of the data properties to set fine-grained access permission. Thirdly, a hierarchical authorization algorithm combined with data sensitivity and hierarchical attribute-based encryption (ABE) technology is proposed to achieve hierarchical access control of epidemiological survey data. Efficiency analysis and experiments show that the scheme meets the security requirements of privacy protection and key management in epidemiological survey.

• 한국컴퓨터정보학회논문지
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• 제23권12호
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• pp.241-248
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• 2018

Recently, there have been calls for approaching from the irrationality point of view to better explain the privacy paradox phenomenon. This study is a kind of response to them. The aim of the study is to investigate how satisfying competence needs, one of basic psychological needs suggested in self-determination theory, affects irrational information disclosure decision (i.e., risk-benefit assessment). To do this, the study builds an irrationality-based model in which competence needs satisfaction affects both perceived risks negatively and perceived benefits (i.e., relationship building and maintenance), which in turn determine a level of self-disclosure. Based on the data from Facebook users which is collected by a large sample survey (N=1050), the study analyzes it using Mplus, a powerful structure equation modeling tool. The study results reveal that while the relationship between competence needs satisfaction and perceived relationship building and maintenance is statistically significant, the relationship between competence needs satisfaction and perceived risks insignificant. These findings imply that people who is in a high level of competence needs satisfaction is more likely to respond to some opportunities for social benefits and in turn disclose more information about self.

• 품질경영학회지
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• 제42권3호
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• pp.387-406
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• 2014

Purpose: The widespread use of social network services (SNS) has caused users concern about the disclosure of their privacy or personal information. The purpose of this study is to analyze the factors of privacy concern and self presentation that affect the user resistance in the use of social network service. Methods: This study verifies the factors that affecting the user resistance in SNS. The research model suggested in this study is tested via a survey of 260 SNS users. SPSS and Smart PLS had been used to test the suggested hypotheses. Results: This study shows that privacy experience, privacy awareness, self esteem, and social desirability significantly influence perceived risk and that privacy awareness, self esteem, self efficacy, and perceived risk significantly influence perceived trust. It also verifies that perceived risk and perceived trust positively affect user resistance. Conclusion: This paper suggests that high awareness on privacy of SNS user encourages the SNS companies to consider the privacy protection mechanism for eliminating various factors that affecting the risk. This study also shows that the privacy calculus model applies to understanding the mechanism on resistance of SNS user.

• 한국정보시스템학회지:정보시스템연구
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• 제25권3호
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• pp.197-215
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• 2016

Purpose This study aims to investigate the factors that influence decision making in relation to providing personal information on the internet with respect to the integration of the privacy calculus theory and protection motivation theory based on the dual-calculus model proposed by Li(2012). Design/methodology/approach The privacy calculus theory and protection motivation theory have been applied to explain privacy behavior to a certain degree but few studies have been conducted to explain privacy behavior based on the integration of these two theories. Although Li(2012) proposed the dual-calculus model, he only proposed its framework and did not carry out an empirical study. Therefore, this study proposes a research model that integrates these two theories and examines the relationship between the two theories through an empirical study. Findings According to the results of empirical analysis, it was found that all relations have statistically significant explanatory power except the relation between coping appraisal and privacy risk in the risk calculus process. Thus, the results verify that external threat played a decisive role in increasing the risk level of a consumer's privacy. It can be discussed the ways to enhance the privacy behavior of consumer on the internet through these findings.