Image-Based Information Concealment Using Encryption and Decryption Algorithms

In digital security applications, steganography represents the technique of embedding confidential information within image files through specialized algorithms. This process typically involves two key phases: encryption before embedding and decryption after extraction. Common implementation approaches include LSB (Least Significant Bit) substitution where encrypted data is inserted into the least perceptually significant bits of pixel values, or frequency domain methods like DCT coefficient manipulation in JPEG images. The standard workflow involves: first encrypting the payload data using algorithms like AES or RSA, then distributing the encrypted bits across image pixel components using spatial or transform domain techniques. For extraction, the reverse process applies - hidden bits are retrieved from the image matrix and decrypted using the appropriate key. Critical functions would include bit-plane manipulation routines, color channel selection algorithms, and error-diffusion mechanisms to maintain visual fidelity. This methodology ensures that concealed information remains undetectable to unauthorized parties while providing cryptographic protection. The dual-layer security approach safeguards data confidentiality against both visual analysis and cryptographic attacks, preventing interception or compromise of sensitive information. Modern implementations often incorporate checksum validation and adaptive embedding techniques to enhance robustness against steganalysis.