Bit Plane Segmentation and LBP-based Coverless Video Steganography for Secure Data Transmission

Abstract

Traditional information hiding techniques alter carriers to embed secret information, which steganalysis algorithms can find. In the area of covert communication, coverless information concealment has been suggested as a way of preventing steganalysis. A new methodology for sharing secret data through coverless video steganography using Local Binary Pattern (LBP) before bit-plane segmentation has been proposed. In this technique, a single frame is converted into multiple bit-planes, and various hash sequences are generated from these bit-planes. After extracting frames from the video, each frame is converted into grayscale using LBP and then split into multiple bit-planes using Bit-plane Complexity Segmentation (BPCS). The hash sequences are obtained by calculating the average median values of corresponding bit-plane sub-blocks. A retrieval database is created to relate the obtained hash sequences with the bit-plane features. And for the first time security analysis is done in this proposed technique. The experimental results demonstrate that this approach achieves better robustness against various attacks, has a larger capacity, requires less time to extract hash sequences, and has a higher success rate of concealing information than existing coverless video steganography techniques.