Query: (steganography OR "digital watermarking" OR "information hiding") AND (survey OR research OR study OR review OR guidance)

title: Using Digital Image as a Cover of Information Hiding: Review Paper

title: Digital watermarking in medical imaging: a review
abstract: This paper presents considerations on the digital watermarking potential to fit within the medical imaging field. We aim to identify watermarking applications and main strategies within different approaches through previous works. An analysis and evaluation of previous literature quality is also established. We conclude that digital watermarking has considerable purposes in the medical imaging field, it joins and complements existing security measures and management tools for medical images.

title: Periodical Development of Digital Watermarking Technique
abstract: Digital watermarking technique used to hide the information. Wide uses of internet that has increases the access of digital data like image, audio and video. There is a chance to theft the data without permission of the owner of data. To protect the copyrights of information digital watermarking is required. In this paper, the brief review on digital watermarking techniques is evaluated and described. The watermarking is produced since the image contented and could be preserved as an arithmetical impression of finger print of the image. By way of a change based on procedure is cast off to encrypt the evidence in the histogram area that projected watermarking is vigorous sufficient in contradiction of any deprivation, equitation and occurrence.

title: Digital Image Information Hiding Methods for Protecting Transmitted Data: A Survey

title: Literature Review of Various Nature Inspired Optimization Algorithms Used for Digital Watermarking

title: Digital watermarking in medical imaging: a review

title: A comprehensive survey on Neural Network based Image Data hiding Scheme
abstract: The advancement in science and technology has become a significant bottleneck to the information/data. In order to overcome the threats, a number of information hiding methodologies have been proposed. Among such techniques, the most commonly used technique is information hiding in an image due to the presence of secret information in an image, where it will be hard to be identified by the attacker. The appearance of both the normal image and the image that contains the secret information will be similar. Also, with a number of deep learning and AI techniques, data hiding can be done in an increasingly better way. This paper summarizes various neural network based image steganography techniques and also the methodology used in each paper. Also, this research paper discusses the advantages and drawbacks faced by each technique.

title: A High Capacity Text Steganography Utilizing Unicode Zero Width Characters
abstract: Information hiding based on text has become the hottest and most discussed aspect of steganography in recent years, because it eases communication and consumes less memory compared to other types. The lack of redundant information in a text file makes it difficult to hide secret bits into a carrier message (CM) without being noticeable. Therefore, the total amount of hidden bits embeddable in a CM contributes immensely to the system efficiency. Today, individuals share information online with the fear that it could be destroyed by third parties. To achieve a structured text hiding system with high embedding capacity, imperceptibility, robustness and high security concurrently, securing sensitive data through encryption is not enough because attackers are able to suspect that a communication channel exist between the sender and the receiver. Therefore, this paper combines both steganography and cryptography to protect our shared information and to achieve a strong and highly secured non understandable text hiding system. We proposed a method which uses pairs of Zero Width Characters (ZWC) to represent each 4 bit binary classification which provides a high embedding capacity and reduces computational complexity than previous methods. The embedding is done by placing the invisible strings of the secret message (SM) into a single position of the open spaces in the CM which provides high invisibility compared to the reviewed methods.  Time Pad (OTP) and XOR bitwise encryption is used to encrypt the inverted message before the embedding process which provides end to end security to the system. The experiment shows that the proposed method provides a very high embedding capacity and high robustness than other literature reviewed.

title: A Survey of Digital Video Watermarking Schemes
abstract: Digital watermarking is a technique or act of hiding a secret information (text, signature, logo, audio, image etc. in the form of a watermark into a digital multimedia such as text, image, audio and video. There are two classes of watermark; visible and invisible. Visible watermark is viewable by the human eye or detectable by human ear while invisible watermark is only detectable with special software, it cannot be seen by human eye or inaudible and it is more robust than the visible watermark Digital video watermarking is a recent technology and has become an area of concern because most reported copyright violation and distribution transpires in video media content. However, researchers have come up with several techniques in trying to tackle these challenges. A review of the prevailing digital video watermarking techniques is presented in this paper.

title: A survey of deep neural network watermarking techniques
abstract: Protecting the Intellectual Property Rights (IPR) associated to Deep Neural Networks (DNNs) is a pressing need pushed by the high costs required to train such networks and by the importance that DNNs are gaining in our society. Following its use for Multimedia (MM) IPR protection, digital watermarking has recently been considered as a mean to protect the IPR of DNNs. While DNN watermarking inherits some basic concepts and methods from MM watermarking, there are significant differences between the two application areas, thus calling for the adaptation of media watermarking techniques to the DNN scenario and the development of completely new methods. In this paper, we overview the most recent advances in DNN watermarking, by paying attention to cast them into the bulk of watermarking theory developed during the last two decades, while at the same time highlighting the new challenges and opportunities characterising DNN watermarking. Rather than trying to present a comprehensive description of all the methods proposed so far, we introduce a new taxonomy of DNN watermarking and present a few exemplary methods belonging to each class. We hope that this paper will inspire new research in this exciting area and will help researchers to focus on the most innovative and challenging problems in the field.