On LSB Spatial Domain Steganography and Channel Capacity

Abstract

In this paper, we show that for a generic greyscale bitmap it is possible to successfully embed a steganographic payload that survives JPEG compression. We describe our channel model, explain the necessary information theory, and derive capacity estimations to back our hypotheses. We also contrast our approach with other information theoretic efforts in the field of steganography.

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Document Details

Document Type
Technical Report
Publication Date
Mar 21, 2008
Accession Number
ADA479102

Entities

People

  • Farid Ahmed
  • Ira S. Moskowitz
  • Patricia A. Lafferty

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Channel Capacity
  • Channel Models
  • Coding
  • Communication Channels
  • Computer Science
  • Data Compression
  • Detection
  • Electrical Engineering
  • Frequency
  • Frequency Domain
  • Information Theory
  • Military Research
  • Probability
  • Random Variables
  • Steganography
  • Symbols

Fields of Study

  • Computer science

Readers

  • Image Processing and Computer Vision.
  • Radio communications and signal processing.