호텔 이용 고객의 개인정보 비식별화 방안에 관한 연구
A Study on the de-identification of Personal Information of Hotel Users
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In the area of hotel and tourism sector, various research are analyzed using big data. Big data is being generated by any digital devices around us all the times. All the digital process and social media exchange produces the big data. In this paper, we analyzed the de-identification method of big data to use the personal information of hotel guests. Through the analysis of these big data, hotel can provide differentiated and diverse services to hotel guests and can improve the service and support the marketing of hotels. If the hotel wants to use the information of the guest, the private data should be de-identified. There are several de-identification methods of personal information such as pseudonymisation, aggregation, data reduction, data suppression and data masking. Using the comparison of these methods, the pseudonymisation is discriminated to the suitable methods for the analysis of information for the hotel guest. Also, among the pseudonymisation methods, the t-closeness was analyzed to the secure and efficient method for the de-identification of personal information in hotel.
Abstract
In the area of hotel and tourism sector, various research are analyzed using big data. Big data is being generated by any digital devices around us all the times. All the digital process and social media exchange produces the big data. In this paper, we analyzed the de-identification method of big data to use the personal information of hotel guests. Through the analysis of these big data, hotel can provide differentiated and diverse services to hotel guests and can improve the service and support the marketing of hotels. If the hotel wants to use the information of the guest, the private data should be de-identified. There are several de-identification methods of personal information such as pseudonymisation, aggregation, data reduction, data suppression and data masking. Using the comparison of these methods, the pseudonymisation is discriminated to the suitable methods for the analysis of information for the hotel guest. Also, among the pseudonymisation methods, the t-closeness was analyzed to the secure and efficient method for the de-identification of personal information in hotel.
참고문헌 (9)
- 박근화, "관광분야에서의 빅데이터 활용 성공사례와 고려사항", 한국관광정책, (64), pp.77~83 (2016)
- 김동국, "빅데이터 기반의 개인정보 비식별화 동향", 인터넷정보학회지, 16(2), pp.15~22 (2015)
- 박득희, "소셜 빅데이터를 활용한 관광정보 네트워크 분석: 서울과 제주도지역을 중심으로", 관광연구저널, 30(8), pp.195~208 (2016), 한국관광연구학회[DOI]
- 장미화, "소셜 미디어 빅데이터 분석을 통한 캠핑에 대한 정부 정책과 국민들의 인식 변화 연구", 관광연구, 31(1), pp.91~112 (2016), 대한관광경영학회
- 이수진, "소셜미디어 빅데이터 분석을 통한 관광 인식 조사–경기도 지역을 중심으로 -", GRI연구논총, 18(1), pp.83~109 (2016), 경기개발연구원
- 이영진, "관광분야에서 SNS 빅데이터의 활용 방법 모색: 관광 정보 검색 키워드 분석을 중심으로", 관광연구저널, 28(3), pp.5~14 (2014), 한국관광연구학회
- 설경진, "호텔기업의 개인정보 관리 방안에 관한 연구: 서울시내 특급호텔 중심으로", 관광레저연구, 23(7), pp.95~110 (2011), (사)한국관광레저학회
- 개인정보의 비식별화 처리가 개인정보 보호에 미치는 영향에 관한 연구, "고학수", 개인정보보호위원회, ~ (2015)
- "개인정보 비식별화에 대한 적정성 자율평가 안내서", 한국정보화진흥원, ~ (2014)