The Hybrid Model of LSB—Technique in Image Steganography Using AES and RSA Algorithms

The process of embedding a data file or information inside another data file or picture is known as steganography. The goal of steganography is to conceal the presence of a message or data so as to avoid it being seen by an observer who does not know how or what to look for. Steganalysis techniques are capable of helping hide details in electronic data such as pictures, audio files, and video files. For instance, a message might be hidden in the unimportant portions of a picture or in the sparse components of an audio transmission. Data encryption can additionally be employed to safeguard the data on printed sheets by using magic markers or other approaches. The least significant bit (LSB) approach, an edge detection technique, has the disadvantage of poorer security and imperceptibility compared to the classic steganography techniques already in use. We propose a paradigm that integrates steganography and cryptography to increase security. To add a cryptographic flavour, we use the Advance Encryption Standard (AES) algorithm, which protects the security of the secret message bits. In this study, we compare the performance of the LSB approach using AES and the LSB technique using AES and RSA (Rivest–Shamir–Adleman) algorithms to that of the Pixel Locator Sequence (PLS) technique. To test the performance of the suggested approaches, we compute the metrics Peak Signal-to-Noise Ratio (PSNR) and Mean Square Error (MSE) and compare the findings with previously published PLS techniques that show good enough values for our proposed model.