Enhanced data hiding using some attribute of color image

Images are one of the most used multimedia elements in correspondence between people. One of the reasons is that some features of images can be used to hide important messages. Message hiding method varies depending on the features of the image used because each image has different features. It has become a necessity to develop different tools and techniques in order to protect data against theft, prevent the destruction of sensitive information and protect the security of data. In this thesis, it is aimed to protect the ownership of data and data by applying encryption techniques on images. The bits of the hidden message were changed using the least significant bit technique. By examining the frequency distributions on the data with the histogram technique, the situation of the data before and after the hiding process was compared. By comparing this study with similar studies, the strengths and weaknesses of the thesis were discussed. In the experiments, more than 500 characters were used in the images in which the dot was divided into two parts. This algorithm has the advantages of increasing the volume of data that can be hidden, the possibility of error-free retrieval of written text, and a higher degree of reliability to ensure the integrity of the image before retrieving its contents. The findings show the importance of an encryption before inclusion, because if the unauthorized party knows the method used in the inclusion process, the encryption problem will be encountered and the security of this information will be enhanced.