New Secret Sharing Scheme Based on Faster R-CNNs Image Retrieval

Secret image sharing has been attracting considerable research attention in recent years as images become ubiquitous on the Internet and mobile applications. In traditional
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threshold secret image sharing schemes, the sender embeds the secret image into several shadow images and sends them to all participants. However, the shadow images are vulnerable during the transmission process on the Internet. In order to ensure the security of the shadow images which contain secret information, a new secret sharing scheme is proposed based on Faster region convolutional neural networks (Faster R-CNNs). This scheme uses a query image which does not have any secret information but looks similar to the original shadow image. Each participant retrieves the corresponding shadow image to search the query image in a big image database. As a result shadow images are searched by using Faster R-CNNs and stored in a database which is protected from being attacked, rather than transmitted over the network directly in the proposed scheme. The experimental results demonstrate that the proposed scheme can automatically retrieve the accurate shadow images by Faster R-CNNs and recover the secret image correctly.