상세정보
학술지
Mitigating the ICA Attack Against Rotation-Based Transformation for Privacy Preserving Clustering
- 발행일
- 200812
- 출처
- ETRI Journal, v.30 no.6, pp.868-870
- ISSN
- 1225-6463
- 출판사
- 한국전자통신연구원 (ETRI)
- 협약과제
- 08MK1100, 차세대 시큐리티 기술 개발, 조현숙
- 초록
- The rotation-based transformation (RBT) for privacy preserving data mining is vulnerable to the independent component analysis (ICA) attack This paper introduces a modified multiple-rotation-based transformation technique for special mining applications, mitigating the ICA attack while maintaining the advantages of the RBT.
- 키워드
- Data clustering, ICA, Multiple rotations, RBT
- KSP 제안 키워드
- Data clustering, Data mining(DM), Independent Component analysis, Privacy Preserving Data Mining(PPDM), Transformation technique, privacy preserving clustering(PPC)