Improvement of Image Steganography Scheme Based on LSB Value with Two Control Random Parameters and Multi-level Encryption

Abstract

Abstract Recently, steganography has played an important part in the field of communication, especially in image steganography. The major points of image steganography are the image quality (imperceptibility) of the stego image and the security of the system towards stopping the recoverability of the secret data. A new steganography scheme based on two control random parameters and multi-level encryption can address the security challenge while the P_Even/P_Odd classification can ensure the imperceptibility of the stego image. The objectives of study to increase the security and PSNR of the image by using the Huffman coding technique to compress the secret data prior to embedding; this will also ensure an increase in the payload capacity. The proposed scheme takes effect after encrypting and compressing the secret data. It is deployed when matching the secret bits with the LSB during embedding to determine 0 (P_Even) and 1 (P_Odd) while classifying the secret message to track and map each bit in the stego image. The results showed the embedding of the secret message based on P_Even/P_Odd with two control random parameters and multi-level encryption to improve the steganography.