SECURING IMAGES WITH AES AND VISUAL CRYPTOGRAPHY TECHNIQUES

Abstract

As the volume of digital communication expands, the demand to protect sensitive information from sophisticated cyber threats has become critical. While encryption and steganography are widely adopted for data security, each has limitations when used in isolation. Encryption transforms data into unreadable ciphertext,securing content but often signaling the presence of confidential information. In contrast, steganography conceals the very existence of a message within media files, though predictable embedding can make it vulnerable to steganalysis. To address these challenges, this project introduces a hybrid model that integrates both techniques for a layered security approach. The secret message is first encrypted using the AES algorithm with a user-defined key, ensuring strong content protection. This encrypted output is then embedded into a cover image using a modified LSB technique, where only one color channel per pixel is altered, minimizing visual distortion. Naturalnoise images are preferred to mask hidden data effectively against detection. The proposed system offers rapid encryption, embedding, and decryption, ensuring efficiency with minimal resource usage. It has practical use cases in secure communication, protected file storage, healthcare, defense, and personal privacy. The modular design also allows future improvements, such as dynamic key handling, adaptive embedding based on image features, and integration with cloud platforms for enhanced scalability and redundancy