회원가입 약관 정보 자동 수집을 통한 웹기반 개인정보보호 영향도 평가 시스템

Development of mobile and wearable devices, as well as increase in wireless Internet penetration, have led to approximately 90% of people using the Internet. Although users can easily access the Internet using their personal information, the service poses a threat to their privacy, from the perspective of 116 personal information leakage incidents in the past five years. However, only approximately 10% of Internet users check the terms and conditions of membership in detail, the remaining users skip such terms and conditions because it is difficult or cumbersome to read. This shows that the value of personal information provided by a person’s membership and risk of leakage, is not properly understood and provided, and efforts are needed to protect personal information. So, this paper proposes a web-based privacy evaluation system through automated collection of members’ signature information, providing users with summary information through the process of collecting personal information items, assessing impact levels, and visualization. An experiment was conducted on 37 Internet sites, to compare items present on the page with those collected by the system, and sensitivity of the proposed system was measured at 89.66%.