Design and Analysis of a Hybrid Algorithm for Image Steganography and Image Encryption
摘要
Encryption is the process of transforming the plaintext into a secure format, known as ciphertext. Steganography is the approach of concealing sensitive or confidential data within a cover signal. Recently, to enhance the data security through integrating steganography and encryption in a single approach and proposing hybrid approaches becomes hot research topic. In this proposed hybrid approach, the energy compaction property of Discrete Cosine Transform has been employed to convert the image representation from spatial domain to frequency domain. Additionally, the study incorporates the utilization of chaotic maps to introduce randomness, coupled with the application of Deoxyribonucleic Acid (DNA) encoding for image encryption. The integration of chaotic maps not only enhances the security of the encryption process but also introduces a layer of complexity. Furthermore, the secret data is embedded within the image using the Least Significant Bit (LSB) technique. The images of Lena, Peppers, and Baboon, accessed from the SIPI Image Database are used to calculate the results. The proposed approach offers high Embedding Capacity (EC), zero Bit Error Rate (BER). Number of Pixels Change Rate (NPCR) values is close to the ideal value (99.6%), and Unified Average Changing Intensity (UACI) values ranged from 33.3% to 33.6% show the efficiency of the proposed approach.