Exploring the Hidden Potential of Cyber Security Oriented Intelligent Data Hiding in Encrypted Images

In recent years, there has been a surge of interest in the possibility of reversible data hiding inside encrypted images due to the promising practical uses of this technology, which include content owner identification, privacy protection, and encrypted picture authentication. Data hiding refers to the process of concealing data within a cover material. It is possible to conceal data in visual, auditory, textual, and graphical formats. Pictures, particularly digital pictures, can be used to conceal data. This data may be authentication details or author information, or it might be any text that is relevant to the image. The receiving end has to be able to decipher the encrypted data and restore the original picture. Advanced Cipher Logic based Data concealing (ACLDH) is a data concealing approach that meets this condition; it allows for accurate recovery of the host image. The losslessness of this method makes it well-suited for use in the medical field, the military, and cloud storage. After extracting the concealed data from an encrypted image, the suggested technique, known as ACLDH, may restore the original image to its original state without introducing any deformation. These days, reversible data hiding in encrypted graphics is all the rage because of its great quality: you can have your original cover back after removing the hidden data. It safeguards the initial data as well. Reversible Data Hiding (RDH) techniques that are now available for encrypted photos may be classified into two groups: those that do not preprocess the images and those that does. In this research, we show how to use adaptive thresholding to increase data concealing capacity and how to retrieve the original picture from a tagged image without distortion.