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Privacy-preserving Multi-keyword Ranked Search over Encrypted Cloud Data Supporting Dynamic Update

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSIA) 바로가기
  • 간행물
    International Journal of Security and Its Applications SCOPUS 바로가기
  • 통권
    Vol.8 No.6 (2014.12)바로가기
  • 페이지
    pp.1-16
  • 저자
    Xingming Sun, Lu Zhou, Zhangjie Fu, Jin Wang
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A237065

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원문정보

초록

영어
With the development of cloud computing, the sensitive information of outsourced data is at risk of unauthorized accesses. To protect data privacy, the sensitive data should be encrypted by the data owner before outsourcing, which makes the traditional and efficient plaintext keyword search technique useless. Hence, it is an especially important thing to explore secure encrypted cloud data search service. Considering the huge number of outsourced data, there are three problems we are focused on to enable efficient search service: multi-keyword search, result relevance ranking and dynamic update. In this paper, we propose a practically efficient and flexible searchable encrypted scheme which supports both multi-keyword ranked search and dynamic update. To support multi-keyword search and result relevance ranking, we adopt Vector Space Model (VSM) to build the searchable index to achieve accurate search result. To improve search efficiency, we design a tree-based index structure which supports insertion and deletion update well without privacy leakage. We propose a secure search scheme to meet the privacy requirements in the threat model. Finally, experiments on real-world dataset are implemented to demonstrate the overall performance of the proposed scheme, which show our scheme is efficient.

목차

Abstract
 1. Introduction
 2. Related Work
  2.1. Single Keyword Searchable Encryption
  2.2. Multi-keyword Searchable Encryption
 3. Problem Formulation
  3.1. System Model
  3.2. Threat Model
  3.3. Design Goals
  3.5. Preliminaries
 4. Secure Index Scheme
 5. Dynamic Update
 6. Security Analysis
 7. Performance Analysis
  7.1. Index Tree Construction
  7.2. Query Generation
  7.3. Search Efficiency
 8. Conclusions and Future Work
 Acknowledgements
 References

키워드

Multi-keyword search ranked search dynamic update encrypted cloud data

저자

  • Xingming Sun [ College of Computer and Software & Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing210044, China ]
  • Lu Zhou [ College of Computer and Software & Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing210044, China ]
  • Zhangjie Fu [ College of Computer and Software & Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing210044, China ]
  • Jin Wang [ College of Computer and Software & Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing210044, China ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    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 505 DDC 605

이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.8 No.6

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