Novel Scheme for Data Hiding in Binary Images using Cover Pattern Histogram

In today's digital age, security and safe communication are necessities. Applications frequently transport large amounts of private data as binary images. This research proposes a unique scheme that uses cover pattern histogram-based decision tree for information concealment extraction from aims to provide data-hiding approach with capacity concealment, possible minor distortion, security, difficulty discovering hidden data. method high-frequency 3X3 pixel block patterns obscure The two series pattern's identified based on sorted frequency. To construct embedding, these patterns, key bits, bits work together parameters. Information is encrypted using secret ensure message before being hidden. A decides the suitability bit embedding or without flipping at sender side. histogram gets generated received image containing concealed data, recognized similarly procedure receiver assesses whether an carries "0" "1". extracts by analyzing bits. decodes retrieved reveal original According research, 50-80 % transmitted pixels, automatically reducing visual distortion. performs better than comparable methods applicable in steganography watermarking.