An Enhanced Triple Prime Encryption Approach for Image Encryption in LSB Steganography

The internet is developing rapidly, which leads to a sharp increase in security levels. Compression of data is used to save memory securely. At the same time, the protection of data is very important. The effective compression method gives efficient and easy-to-connect data. To protect data securely cryptographic and steganographic algorithms play a crucial role in the modern world. There are a lot of algorithms in cryptography to protect the data. In this study, three different ways to protect the data were proposed. Image scrambling is also an efficient way to protect the data. Discrete Cosine Transform (DCT) and Arnold’s cat map techniques were used to compress and encrypt the image. Multiple encryptions were used to encrypt the plain text. The first level is an alphanumeric scrambling sequence and in the second level, a new algorithm named Triple Prime Encryption (TPE) gives good results in security lastly one of the public key cryptography algorithms RSA was used to encrypt the text. The combination of Lempel Ziv Welch (LZW) and Huffman coding was used to compress the lossless data which provides an efficient security level and high compression ratio. Finally, the encrypted data is encoded into a scrambled image. To analyze the performance of this compression some parameters were performed which is compression ratio, compression time, savings percentage, Bits per pixel, and histogram analysis. To analyze the performance of stego images Mean Squared Error (MSE), Peak Signal to Noise Ratio (PSNR), and Structural Similarity Index (SSIM) were performed. Experimental results show the best accuracy of the performance of the analysis.