ENHANCED REVERSIBLE IMAGE DATA HIDING BASED ON BLOCK HISTOGRAM SHIFTING AND PADHM

Due to the enhanced digital media on the web, information security and privacy protection issue have attracted the eye of information communication. Information hiding has become a subject of sizable im-portance. Currently each day there's very big drawback of information hacking into the networking space. There is variety of techniques offered within the trade to over-come this drawback. So, information hiding within the encrypted image is one in all the solutions, however the matter is that the original cover can't be losslessly recov-ered by this system. That’s why recently; additional and additional attention is paid to reversible information concealing in encrypted pictures however this technique drawback low hardiness. A completely unique technique is planned by reserving for embedding information be-fore encoding of the image takes place with the offered algorithmic rule. Currently the authentic person will hide the information simply on the image to produce authen-tication. The transmission and exchange of image addi-tionally desires a high security .This is the review paper regarding this reversible information hiding algorithms obtainable. As a result, because of histogram enlarge-ment and bar graph shifting embedded message and also the host image may be recovered dead. The embedding rate is enhanced and PSNR magnitude relation using novel technique

A Survey on Reversible Image Data Hiding Using the Hierarchical Block Embedding Technique

The use of graphics for data concealment has significantly advanced the fields of secure communication and identity verification. Reversible data hiding (RDH) involves hiding data within host media, such as images, while allowing for the recovery of the original cover. Various RDH approaches have been developed, including difference expansion, interpolation techniques, prediction, and histogram modification. However, these methods were primarily applied to plain photos. This study introduces a novel reversible image transformation technique called Block Hierarchical Substitution (BHS). BHS enhances the quality of encrypted images and enables lossless restoration of the secret image with a low Peak Signal-to-Noise Ratio (PSNR). The cover image is divided into non-overlapping blocks, and the pixel values within each block are encrypted using the modulo function. This ensures that the linear prediction difference in the block remains consistent before and after encryption, enabling independent data extraction without picture decryption. In order to address the challenges associated with secure multimedia data processing, such as data encryption during transmission and storage, this survey investigates the specific issues related to reversible data hiding in encrypted images (RDHEI). Our proposed solution aims to enhance security (low Mean Squared Error) and improve the PSNR value by applying the method to encrypted images

General Framework of Reversible Watermarking Based on Asymmetric Histogram Shifting of Prediction Error

This paper presents a general framework for the reversible watermarking based on asymmetric histogram shifting of prediction error, which is inspired by reversible watermarking of prediction error. Different from the conventional algorithms using single-prediction scheme to create symmetric histogram, the proposed method employs a multi-prediction scheme, which calculates multiple prediction values for the pixels. Then, the suitable value would be selected by two dual asymmetric selection functions to construct two asymmetric error histograms. Finally, the watermark is embedded in the two error histograms separately utilizing a complementary embedding strategy. The proposed framework provides a new perspective for the research of reversible watermarking, which brings about many benefits for the information security

Digital watermarking : applicability for developing trust in medical imaging workflows state of the art review

Medical images can be intentionally or unintentionally manipulated both within the secure medical system environment and outside, as images are viewed, extracted and transmitted. Many organisations have invested heavily in Picture Archiving and Communication Systems (PACS), which are intended to facilitate data security. However, it is common for images, and records, to be extracted from these for a wide range of accepted practices, such as external second opinion, transmission to another care provider, patient data request, etc. Therefore, confirming trust within medical imaging workflows has become essential. Digital watermarking has been recognised as a promising approach for ensuring the authenticity and integrity of medical images. Authenticity refers to the ability to identify the information origin and prove that the data relates to the right patient. Integrity means the capacity to ensure that the information has not been altered without authorisation. This paper presents a survey of medical images watermarking and offers an evident scene for concerned researchers by analysing the robustness and limitations of various existing approaches. This includes studying the security levels of medical images within PACS system, clarifying the requirements of medical images watermarking and defining the purposes of watermarking approaches when applied to medical images

An Enhanced Reversible Data Hiding Technique for Coloured Images

To maintain image contents confidentiality and to recover original image, there is a need of Reversible Data Hiding scheme. This paper proposes an enhanced reversible data hiding technique for the coloured image. All previous methods embed data by reversibly vacating room from the encrypted images, which may be subject to some errors on data extraction or image restoration. The proposed method embeds data by reserving room before encryption with a traditional RDH algorithm. It is easy for the data hider to reversibly embed data in the encrypted image. This paper also concerns with a method that embeds the data invisibly into an image. The transmission and exchange of image also needs a high security. To achieve a security, Visual Cryptography is used. Visual cryptography maintains security of a cover media and also it will not make a use of encryption key. Hence, it is less prone to attack. The proposed method can achieve real reversibility, that is, data extraction and image recovery are free of any error

Privacy-preserving information hiding and its applications

The phenomenal advances in cloud computing technology have raised concerns about data privacy. Aided by the modern cryptographic techniques such as homomorphic encryption, it has become possible to carry out computations in the encrypted domain and process data without compromising information privacy. In this thesis, we study various classes of privacy-preserving information hiding schemes and their real-world applications for cyber security, cloud computing, Internet of things, etc. Data breach is recognised as one of the most dreadful cyber security threats in which private data is copied, transmitted, viewed, stolen or used by unauthorised parties. Although encryption can obfuscate private information against unauthorised viewing, it may not stop data from illegitimate exportation. Privacy-preserving Information hiding can serve as a potential solution to this issue in such a manner that a permission code is embedded into the encrypted data and can be detected when transmissions occur. Digital watermarking is a technique that has been used for a wide range of intriguing applications such as data authentication and ownership identification. However, some of the algorithms are proprietary intellectual properties and thus the availability to the general public is rather limited. A possible solution is to outsource the task of watermarking to an authorised cloud service provider, that has legitimate right to execute the algorithms as well as high computational capacity. Privacypreserving Information hiding is well suited to this scenario since it is operated in the encrypted domain and hence prevents private data from being collected by the cloud. Internet of things is a promising technology to healthcare industry. A common framework consists of wearable equipments for monitoring the health status of an individual, a local gateway device for aggregating the data, and a cloud server for storing and analysing the data. However, there are risks that an adversary may attempt to eavesdrop the wireless communication, attack the gateway device or even access to the cloud server. Hence, it is desirable to produce and encrypt the data simultaneously and incorporate secret sharing schemes to realise access control. Privacy-preserving secret sharing is a novel research for fulfilling this function. In summary, this thesis presents novel schemes and algorithms, including: • two privacy-preserving reversible information hiding schemes based upon symmetric cryptography using arithmetic of quadratic residues and lexicographic permutations, respectively. • two privacy-preserving reversible information hiding schemes based upon asymmetric cryptography using multiplicative and additive privacy homomorphisms, respectively. • four predictive models for assisting the removal of distortions inflicted by information hiding based respectively upon projection theorem, image gradient, total variation denoising, and Bayesian inference. • three privacy-preserving secret sharing algorithms with different levels of generality

Data Hiding in Video Streaming by Code Word Substitution

Data hiding techniques can be used to embed a secret message and secret image into a video bit stream for copyright protection, access control and transaction tracking. They are some data hiding techniques to assess the quality of video in the absence of the original reference. To avoid the drawback of existing system such as lossless compression, gray scale mapping and noisy images forces higher bit plane when distortion are easily visible.Data hiding is also used for concealment in applications of video transmission, gray scale mapping and noisy image. Edge quality information and number of bits of a block are hidden in the bit streams processed in an encrypted format to maintain security and privacy. DOI: 10.17762/ijritcc2321-8169.15035