With the development of cloud computing technology, more and more users have outsourced their data to cloud platform. To protect the safety of these data, some encryption methods are usually used. But it is very difficult question that how to effective retrieval and to use the encrypted data, we propose a multi-attribute keyword retrieval mechanism for encrypted cloud data. In this mechanism, we first define the local feature attributes of the keywords and the global feature attributes of the document. Then, we construct the mapping relationship between keywords and document attributes according to the basic principle of inverted index algorithm and establish the security index. Based on the above steps, we improve the weight of the key words and calculate the similarity score of the document by combining the multi-attribute score function. Experiments show that this mechanism not only can effectively improve the accuracy of the data retrieval, but also can greatly reduce the bandwidth consumption of system.
목차
Abstract 1. Introduction 2. Related Works 3. System Model of Retrieval Method 4. Retrieval about Multi-attribute Keyword 4.1 The Extraction of Keyword Multi-attribute Feature Vector 4.2 The Construction method of Keyword Fuzzy Set 4.4 The Retrieval Process of Fuzzy Keyword with Multiple Attributes 5. Experiments and Result Analysis 5.1 The Result of Retrieval Experiments 5.2 The Analysis of Retrieval Results 6. Conclusions References
보안공학연구지원센터(IJSIA) [Science & Engineering Research Support Center, Republic of Korea(IJSIA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Security and Its Applications
간기
격월간
pISSN
1738-9976
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.10 No.12