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A Secure JPEG Image Retrieval Method in Cloud Environment

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Cloud Computing and Security (ICCCS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10040))

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Abstract

In order to protect data privacy, image with sensitive or private information needs to be encrypted before being outsourced to the cloud. However, this lead to difficulties in image retrieval. A secure JPEG image retrieval method is proposed in this paper. Image is encrypted on DCT (Discrete Cosine Transform) domain by scrambling encryption, and the encrypted image is outsourced to the server, then the DC difference histogram and LBP (Local Binary Patterns) among the image blocks are extracted as image feature vectors by the server. Both the image confidentiality and retrieval accuracy are guaranteed in the proposed method with less computational complexity and communication cost. Experimental results prove that the proposed scheme has good encryption security and can achieve better retrieval performance.

Fund projects: the National Natural Science Foundation of China (41571426, 61232016), U1405254, PAPD fund, and LIESMARS Special Research Funding

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Author information

Authors and Affiliations

  1. State Key Laboratory of Information Engineering in Surveying, Maping and Remote Sensing, Wuhan University, Wuhan, 430079, Hubei, China

    Wei Han, Yanyan Xu & Jiaying Gong

Authors
  1. Wei Han
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  2. Yanyan Xu
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  3. Jiaying Gong
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Corresponding author

Correspondence to Yanyan Xu .

Editor information

Editors and Affiliations

  1. University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Michigan State University , EAST LANSING, Michigan, USA

    Alex Liu

  3. National Dong Hwa University , Shoufeng, Taiwan

    Han-Chieh Chao

  4. Purdue University , West Lafayette, Indiana, USA

    Elisa Bertino

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Han, W., Xu, Y., Gong, J. (2016). A Secure JPEG Image Retrieval Method in Cloud Environment. In: Sun, X., Liu, A., Chao, HC., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2016. Lecture Notes in Computer Science(), vol 10040. Springer, Cham. https://doi.org/10.1007/978-3-319-48674-1_42

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  • DOI: https://doi.org/10.1007/978-3-319-48674-1_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48673-4

  • Online ISBN: 978-3-319-48674-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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