Steganography Detection Using Entropy Measures

Abstract

There are two problems in steganalysis: (1) detecting the existence of a hidden message and (2) decoding the message. As terrorist groups have been known to use steganography in planning their attacks, this has become an important problem of national security. This research proposal is only concerned with the first problem of hidden message detection using steganalysis [8]. The approach is to statistically analyze the least significant bit(s) of each color dimension of each pixel to look for some kind of a pattern. In the absence of a hidden message this should look like random noise. Addition of a hidden message will affect the entropy of the data [4]. This difference should be detectable by comparing the entropy of unaltered picture files with the entropy of files with embedded steganography. For this research freely available software for embedding hidden messages will be used to create sample image files to analyze. For the statistical analysis R Language will be used.

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Document Details

Document Type
Technical Report
Publication Date
Aug 19, 2012
Accession Number
ADA586643

Entities

People

  • Eduardo Melendez

Organizations

  • Polytechnic University of Puerto Rico

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Compression
  • Computer Science
  • Cybersecurity
  • Decoding
  • Detection
  • Embedding
  • Image Compression
  • Image Processing
  • Language
  • National Security
  • Numbers
  • Puerto Rico
  • Security
  • Statistical Analysis
  • Steganography
  • Switches
  • Visual Perception

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Image Processing and Computer Vision.
  • Radio communications and signal processing.