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Secure Similarity Search over Encrypted Cloud Images

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSIA) 바로가기
  • 간행물
    International Journal of Security and Its Applications SCOPUS 바로가기
  • 통권
    Vol.9 No.8 (2015.08)바로가기
  • 페이지
    pp.1-14
  • 저자
    Yi Zhu, Xingming Sun, Zhihua Xia, Naixue Xiong
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A252498

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원문정보

초록

영어
With the growing popularity of cloud computing, more and more data owners are willing to outsource their data to the cloud. However, private data should be encrypted before outsourcing for security requirements, which obsoletes data utilization like content-based image retrieval. In this paper, we propose a secure similarity image search scheme, which allows data owners to outsource their encrypted image database to the cloud server without revealing the real content of images. The proposed scheme supports both global and local feature based image retrieval under various distance metrics, such as earth mover's distance. Firstly, the data owner extracts either global features or local features from images to represent the images. Then, these features are used to generate a searchable index. Finally, both image database and searchable index are encrypted before outsourcing to the cloud server. When a query image coming, the data user extracts feature from the query image and generates the search trapdoor. The trapdoor is then sent to the cloud server and used to compare the similarity with the searchable index. Extensive experiments are conducted to show the efficiency and applicability of our proposed similarity image search system.

목차

Abstract
 1. Introduction
 2. System Overview and Preliminaries
  2.1. System Architecture
  2.2. Earth Mover’s Distance
 3. The Proposed Scheme
  3.1. Notations
  3.2. Global Feature based Scheme
  3.3. Local Feature based Scheme
  3.4. LP Transformation
  3.5. Construction Detail
  3.6. Global Feature vs. Local Feature
 4. Security Analysis
 5. Implementation and Performance
  5.1. Precision
  5.2. Efficiency
 6. Related Work
 7. Conclusion
 Acknowledgements
 References

키워드

similarity image retrieval linear programming earth mover's distance cloud computing

저자

  • Yi Zhu [ Jiangsu Engineering Center of Network Monitoring, School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing, China ]
  • Xingming Sun [ Jiangsu Engineering Center of Network Monitoring, School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing, China ]
  • Zhihua Xia [ Jiangsu Engineering Center of Network Monitoring, School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing, China ]
  • Naixue Xiong [ School of Computer Science, Colorado Technical University, USA ]

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.9 No.8

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