Earticle

초록

영어

With the growing popularity of cloud computing, more and more users outsource their private data to the cloud. To ensure the security of private data, data owners usually encrypt their private data before outsourcing the data to the cloud server, which brings incommodity of data operating. This paper proposes a scheme for similar search on encrypted images. In the setup phase, image owner extracts feature vectors to represent the images as usual image retrieval system does. Then, the feature vectors are transformed by an invertible matrix, which not only protect the information of feature vector but also support similarity evaluation between the vectors. The encrypted vectors and image identifies are used to construct inverted index, which is finally uploaded along with the encrypted image to the cloud. In the search phase, with a query image, the authorized image user extracts and encrypts feature vector to generate the trapdoor. The trapdoor is submitted to the cloud and can be used to calculate the similarity with the transformed feature vectors. The encryption on features does not degrade the result accuracy. Moreover, the image owner could update the encrypted image database as well as the secure index very easily.

목차

Abstract
 1. Introduction
 2. Problem Formulation
  2.1. System Model
  2.2. Design Goals
 3. Preliminaries
  3.1. Feature Extraction
  3.2. Secure Transformation Approach
 4. The Proposed Scheme
  4.1. The Setup Phase
  4.2. Search Phase
 5. Security and Performance
  5.1. Security Analysis
  5.2. Performance
 6. Conclusions
 Acknowledgements
 References

키워드

저자

• Zhihua Xia [ Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing, 210044, China, School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, 210044, China ]
• Yi Zhu [ Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing, 210044, China, School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, 210044, China ]
• Xingming Sun [ Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing, 210044, China, School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, 210044, China ]
• Jin Wang [ Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing, 210044, China, School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, 210044, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605