A Steganographic Embedding Undetectable by JPEG Compatibility Steganalysis

Abstract

Steganography and steganalysis of digital images is a cat-and-mouse game. In recent work, Fridrich, Goljan and Du introduced a method that is surprisingly accurate at determining if bitmap images that originated as JPEG files have been altered (and even specifying where and how they were altered), even if only a single bit has been changed. However, steganographic embeddings that encode embedded data in the JPEG coefficients are not detectable by their JPEG compatibility steganalysis. This paper describes a steganographic method that encodes the embedded data in the spatial domain, yet cannot be detected by their steganalysis mechanism. Furthermore, we claim that our method can also be used as a steganographic method on files stored in JPEG format. The method described herein uses a novel, topological approach to embedding. The paper also outlines some extensions to the proposed embedding method.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2002
Accession Number
ADA464998

Entities

People

  • Ira S. Moskowitz
  • Liwu Chang
  • Murali M. Brahmadesam
  • Richard E. Newman

Organizations

  • University of Florida

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Artifacts
  • Coding
  • Coefficients
  • Compression
  • Computer Programs
  • Computer Science
  • Decoding
  • Detection
  • Distortion
  • Embedding
  • Frequency
  • Frequency Domain
  • Military Research
  • Statistical Tests
  • Statistics
  • Steganography

Fields of Study

  • Computer science

Readers

  • Graph Algorithms and Convex Optimization.
  • Image Processing and Computer Vision.
  • Radio communications and signal processing.