온라인 상에 공개된 부분 익명화된 빅데이터의 프라이버시 침해 가능성 분석
Vol. 28, No. 3, pp. 665-679,
5월.
2018
10.13089/JKIISC.2018.28.3.665, Full Text:
Keywords: Privacy analysis, Anonymization, Data crawling, inference attack
Abstract Statistics
Cite this article
10.13089/JKIISC.2018.28.3.665, Full Text:
Keywords: Privacy analysis, Anonymization, Data crawling, inference attack
Abstract Statistics
Cite this article
[IEEE Style]
정강수, 박석, 최대선, "Analysis of Privacy Violation Possibility of Partially Anonymized Big Data," Journal of The Korea Institute of Information Security and Cryptology, vol. 28, no. 3, pp. 665-679, 2018. DOI: 10.13089/JKIISC.2018.28.3.665.
[ACM Style]
정강수, 박석, and 최대선. 2018. Analysis of Privacy Violation Possibility of Partially Anonymized Big Data. Journal of The Korea Institute of Information Security and Cryptology, 28, 3, (2018), 665-679. DOI: 10.13089/JKIISC.2018.28.3.665.