Using Least-Significant Bit and Random Pixel Encoding with Encryption for Image Steganography

Abstract

Steganography is the process of hiding data inside audio, video, and image sources using various encoding methods. This paper presents a novel steganography algorithm that hides files in images using a combination of strong symmetric AES encryption, random pixel selection, and encoding in least-significant bits. The algorithm is implemented in Python 3 and made publicly available as part of a steganography tool, BPStegano. An evaluation using five steganalysis techniques shows that the new algorithm is effective and secure.