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A Study on Analysis of Personal Information Risk Using Importance-Performance Analysis

IPA를 이용한 개인정보 위험도 분석 연구

  • 정수진 (고려대학교 금융보안학과) ;
  • 김인석 (고려대학교 정보보호학과)
  • Received : 2015.10.12
  • Accepted : 2015.12.11
  • Published : 2015.12.31

Abstract

For newly incoming technologies owing to the advancements in information and communications technology, the new form of information occurs due to the combination form of personal information. In turn, personal information which is combination with existing personal information is on the increase. It is difficult to equalize the method in order to analysis the degree of risk for personal information because it is qualitative method which is defined on the current Personal Information Protection Law. This dissertation presents the model to assess the degree of risk by using the IPA(Importance-Performance Analysis) after measuring the importance and the weighted value for the personal information based on the existing the method of risk assessment. Through the model suggested in this dissertation, the subjective judgement can be excluded, the combination of personal information can be assessed and the standard criteria which is used as the objective indicators from the quantitative degree of risk can be suggested.

정보통신계의 발달로 인하여 등장하는 새로운 기술들로 인하여 새로운 개인정보의 형태가 나타나고 있다. 이에 따라, 기존 개인정보들과 결합되어 사용되어지는 개인정보들이 점차 늘어나고 있다. 현행 개인정보보호법에서 정의하는 결합된 정보에 대한 개인정보 위험도를 측정하는 방법은 정성적으로 제시되고 있어, 개인정보 위험도가 평준화되기는 어렵다. 본 논문에서는 기존 연구된 개인정보 위험도 평가 방법을 기반으로 개인정보 중요도와 가중치를 측정한 다음 IPA를 통해 개인정보의 위험도를 분석하는 모델을 제시하는데 그 목적을 두고 있다. 본 연구를 통하여 사용자의 주관적인 판단을 배제할 수 있고, 결합된 개인정보 위험도 산정에 사용될 수 있다. 또한, 제시되는 정략적인 위험도는 객관적인 지표로 사용될 수 있는 기준을 제시할 수 있을 것이다.

Keywords

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