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Our proposed scheme over encrypted domain may also be extended to handle compressed and encrypted Images, namely, embed watermark into the compressed and encrypted bit stream. The proposed technique embeds message through a public key modulation mechanism, and performs data extraction by exploiting the statistical distinguish ability of encrypted and non-encrypted image blocks.
This work proposes a novel reversible image data hiding (RIDH) scheme over encrypted domain. The data embedding is achieved through a public key modulation mechanism, in which access to the secret encryption key is not needed. At the decoder side, a powerful two-class SVM classifier is designed to distinguish encrypted and non-encrypted image patches, allowing us to jointly decode the embedded message and the original image signal. Compared with the state-of-the-arts, the proposed approach provides higher embedding capacity, and is able to perfectly reconstruct the original image as well as the embedded message. Extensive experimental results are provided to validate the superior performance of our scheme.
To protect the privacy and security, all images will be encrypted before being forwarded to a un-trusted third party for further processing. For instance, in secure remote sensing, the satellite images, upon being captured by on-board cameras, are encrypted and then sent to the base station(s), as illustrated. After receiving the encrypted images, the base station embeds a confidential message, base station ID, location information, time of arrival (TOA), local temperature, wind speed, etc., into the encrypted images. Eventually, the encrypted image carrying the additional message is transmitted over a public network to a data center for further investigation and storage. For security reasons, any base station has no privilege of accessing the secret encryption key K pre-negotiated between the satellite and the data center. This implies that the message embedding operations have to be conducted entirely over the encrypted domain. In addition, similar to the case of Cloud computing, it is practically very costly to implement a reliable key management system (KMS) in such multi-party environment over insecure public networks.
Reversible image data hiding (RIDH) is a special category of data hiding technique, which ensures perfect reconstruction of the cover image upon the extraction of the embedded message. The reversibility makes such image data hiding approach particularly attractive in the critical scenarios, military and remote sensing, medical images sharing, law forensics and copyright authentication, where high fidelity of the reconstructed cover image is required. The majority of the existing RIDH algorithms are designed over the plaintext domain, namely, the message bits are embedded into the original, un-encrypted images. The early works mainly utilized the lossless compression algorithm to compress certain image features, in order to vacate room for message embedding.
Instead of considering dedicated encryption algorithms tailored to the scenario of encrypted-domain data hiding, we here stick to the conventional stream cipher applied in the standard format. That is, the cipher text is generated by bitwise xor in the plaintext with the key stream. If not otherwise specified, the widely used stream cipher aes in the ctr mode is assumed. The resulting data hiding paradigm over encrypted domain could be more practically useful because of two reasons: Stream cipher used in the standard format is still one of the most popular and reliable encryption tools. Large number of data have already been encrypted using stream cipher in standard way.
In this module, the customer can post new advertisement and admin can view all the advertisement posted by the customers. The ad detail contain the complete information about the product advertised by user or admin to give a reference to the customers.
The science of coding and decoding messages so as to keep these messages secure. Coding (see encryption) takes place using a key that ideally is known only by the sender and intended recipient of the message. Cryptography is closely related to the disciplines of cryptology and cryptanalysis. Cryptography includes techniques such as microdots, merging words with images, and other ways to hide information in storage or transit.
The majority of the existing RIDH algorithms are designed over the plaintext domain, namely, the message bits are embedded into the original, un-encrypted images. The early works mainly utilized the lossless compression algorithm to compress certain image features, in order to vacate room for message embedding. However, the embedding capacity of this type of method is rather limited and the incurred distortion on the watermarked image is severe. Histogram shifting (HS)-based technique, initially designed, is another class of approach achieving better embedding performance through shifting the histogram of some image features.
Reversible image data hiding (RIDH) ensures perfect reconstruction of the cover image upon the extraction of the embedded message. The proposed technique embeds message through a public key modulation mechanism, And performs data extraction by exploiting the statistical distinguish ability of encrypted and non-encrypted image blocks. our proposed technique belongs to the category of non-separable RIDH solutions. Compared with the state-of-the-arts, the proposed approach provides higher em-bedding capacity, and is able to achieve perfect reconstruction of the original image as well as the embedded message bits.
In this paper, we design a secure reversible image data hiding (RIDH) scheme operated over the encrypted domain. We suggest a public key modulation mechanism, which allows us to embed the data via simple XOR operations, without the need of accessing the secret encryption key. At the decoder side, we propose to use a powerful two-class SVM classifier to discriminate encrypted and non-encrypted image patches, enabling us to jointly decode the embedded message and the original image signal perfectly. We also have performed extensive experiments to validate the superior embedding performance of our proposed RIDH method over encrypted domain.