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하동욱(Dong-wook Ha),강기태(Ki-tae Kang),류연승(Yeonseung Ryu) 한국정보보호학회 2017 정보보호학회논문지 Vol.27 No.4
최근 몇 년 동안 지속적으로 개인정보유출, 기술유출 사고가 빈번하게 발생하고 있다. 조사에 따르면 이러한 유출 사고의 주체로 가장 많은 부분을 차지하고 있는 것이 조직 내부에 있는 ‘내부자’로, 내부자에 의한 기술유출은 조직에 막대한 피해를 주기 때문에 점점 더 중요한 문제로 여겨지고 있다. 본 논문에서는 내부자위협을 방지하기 위해 기계학습을 이용하여 직원들의 일반적인 정상행위를 학습하고, 이에 벗어나는 비정상 행위를 탐지하기 방법에 대한 연구를 하고자한다. Neural Network 모델 중 시계열 데이터의 학습에 적합한 Recurrent Neural Network로 구성한 Autoencoder를 구현하여 비정상 행위를 탐지하는 방법에 대한 실험을 진행하였고, 이 방법에 대한 유효성을 검증하였다. In recent years, personal information leakage and technology leakage accidents are frequently occurring. According to the survey, the most important part of this spill is the "insider" within the organization, and the leakage of technology by insiders is considered to be an increasingly important issue because it causes huge damage to the organization. In this paper, we try to learn the normal behavior of employees using machine learning to prevent insider threats, and to investigate how to detect abnormal behavior. Experiments on the detection of abnormal behavior by implementing an Autoencoder composed of Recurrent Neural Network suitable for learning time series data among the neural network models were conducted and the validity of this method was verified.
일 대학병원 입원환자의 의료외적 서비스와 의료적 서비스 만족도가 고객충성도에 미치는 영향
하동욱,강명근,박종,김율 朝鮮大學校 附設 醫學硏究所 2007 The Medical Journal of Chosun University Vol.32 No.3
Background: Regarding non-medical services of hospitals, most of them have concerned and have made an efforts to managed it. But there were only a few studies on how it influenced on customers' loyalty, comparing to medical services. Purpose: Then, this study was conducted to identify the influence of satisfaction with non-medical services on customers' loyalty towards hospitals. Methods: The study subjects were 229 inpatients of a university hospital. The data were collected by a structured questionnaire from them. Results: As the results of hierarchical multiple regression analysis, adjusting with general characteristics and satisfaction with medical service, the explanatory power of satisfaction with non-medical services on overall customers' loyalty was 2.2%, which was statistically significant in borderline. But the value was very lower than that of satisfaction with medical services, Conclusions: In order to keep up with high level of customers' loyalty towards hospitals, it might be necessary to manage quality of medical service area primarily, but the importance of non-medical service areas should not be neglected because they might have a little but 'significant' influencing power.