Implementation of the Bit Plane Complexity Segmentation (BPCS) Steganography Method for Embedding Secret Messages in Image Media
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Rapid developments in information technology have increased the need for data security and confidentiality. Steganography, as a technique for hiding messages in digital media, is an effective solution for keeping messages hidden. One steganography method that has high capacity and is capable of maintaining image quality is Bit-Plane Complexity Segmentation (BPCS). This study aims to implement the BPCS method on digital color images (RGB) using the Python programming language with a Graphical User Interface (GUI) that makes it easy for users to insert and extract secret messages. The research process includes separating images into bit planes, calculating the complexity of each bit plane block, embedding secret messages in complex bit planes, and extracting messages to ensure information integrity. Manual calculation examples and message embedding simulations show that the BPCS method can embed large messages without reducing image visual quality. Test results show that changes only occur in the low bit-planes, so the image remains visually unchanged. The implementation of this GUI application makes it easier for users to insert and extract secret messages without having to deeply understand the BPCS algorithm, while also proving the reliability of this method in digital image steganography.
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