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Zhihua Xia

Researcher at Nanjing University of Information Science and Technology

Publications -  89
Citations -  3930

Zhihua Xia is an academic researcher from Nanjing University of Information Science and Technology. The author has contributed to research in topics: Encryption & Cloud computing. The author has an hindex of 20, co-authored 68 publications receiving 3080 citations. Previous affiliations of Zhihua Xia include Chinese Ministry of Education & Jinan University.

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A Secure and Dynamic Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data

TL;DR: This paper constructs a special tree-based index structure and proposes a “Greedy Depth-first Search” algorithm to provide efficient multi-keyword ranked search over encrypted cloud data, which simultaneously supports dynamic update operations like deletion and insertion of documents.
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A Privacy-Preserving and Copy-Deterrence Content-Based Image Retrieval Scheme in Cloud Computing

TL;DR: A unique watermark is directly embedded into the encrypted images by the cloud server before images are sent to the query user, and when image copy is found, the unlawful query user who distributed the image can be traced by the watermark extraction.
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Steganalysis of LSB matching using differences between nonadjacent pixels

TL;DR: This paper models the messages embedded by spatial least significant bit (LSB) matching as independent noises to the cover image, and reveals that the histogram of the differences between pixel gray values is smoothed by the stego bits despite a large distance between the pixels.
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Steganalysis of least significant bit matching using multi-order differences

TL;DR: This paper presents a learning-based steganalysis/detection method to attack spatial domain least significant bit LSB matching steganography in grayscale images, which is the antetype of many sophisticated steganographic methods.
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EPCBIR: An efficient and privacy-preserving content-based image retrieval scheme in cloud computing

TL;DR: A scheme that supports CBIR over the encrypted images without revealing the sensitive information to the cloud server is proposed and the security and efficiency of the proposed scheme are shown.