Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/4091
Title: | Bit Plane Segmentation and LBP-based Coverless Video Steganography for Secure Data Transmission |
Authors: | Debnath, Sourabh Mohapatra, Ramesh Kumar Kulkarni, Tejas Shirish |
Keywords: | Steganography Bit-plane Complexity Segmentation (BPCS) Local Binary Pattern (LBP) Coverless Video Steganography Cover Object |
Issue Date: | Nov-2023 |
Citation: | 8th International Conference on Computer Vision and Image Processing (CVIP) 2023 At IIT Jammu During 3rd -5th November 2023 |
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. |
Description: | Copyright belongs to proceeding publisher |
URI: | http://hdl.handle.net/2080/4091 |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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2023_SDebnath_CVIP_Bit.pdf | 5.42 MB | Adobe PDF | View/Open Request a copy |
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