his research presents a new technique for hiding in the images for any type of file and studying the size of the file to hide with the image to be hidden in and this was not found in the previously studied methods, where the file to be transferred was cut into several pieces and then storing each part in an image where Several images of concealment are chosen. The added information of the file to be represented represents the file, its suffix, its size, as well as the number of each piece. Here some inquiries appear. Do we want to encode the part to be tuned for? That is why the RES algorithm has been implemented for encryption, and do we want to compress the part that is wanted for that? The Huffman Algorithm has been applied for compression. Depending on the confidentiality of the information to be encrypted, encryption can be chosen or not, and according to the size of the data of the part to be passed, pressure or not can be chosen. And the data (Datas) has been cut into Blokes. To make sure that the data has not been changed, the digital signature has been used. Then, I applied the LSB (Significant Bit Least) binary cell algorithm. To obtain better results, the whale algorithm was used to determine the optimal position for escaping in any form.
The effectiveness of the proposed algorithm comes from obtaining the optimal value of PSNR (Peak Signal to Noise Ratio) by determining the best location for the match, as well as the value of the mean square error MSE (Mean Square Error). Comparing the results between the LSB algorithm and the proposed algorithm.
The results that we obtained indicate the efficiency and strength of the proposed algorithm, as it is characterized by its durability because it resisted many attacks carried out on the images that were hidden in the file to be hidden and hidden.
It was adopted on Visual Studio 2016 environment because it contains highly efficient functions that deal with the proposed algorithm.
Egyptian Journal of Applied Science.
2020.
New Technology to Hide a File in Multiple Images Using the Cut Map
Students
Teachers
Graduates
Faculties
