Xinhui Wang

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.

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.

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.

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.

TL;DR: A secure and efficient multi-keyword ranked search scheme over encrypted data, which additionally supports dynamic update operations like deletion and insertion of documents and a secure scheme to meet various privacy requirements in the known ciphertext threat model is presented.