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Comparative Study of Three Steganographic Methods Using a Chaotic System and Their Universal Steganalysis Based on

Dalia Battikh1, Safwan El Assad2, Thang Manh Hoang3

  • 1LASTRE Laboratory, Lebanese University, 210 Tripoli, Lebanon.

Entropy (Basel, Switzerland)
|December 3, 2020
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Summary

A novel chaotic system enhances steganographic methods like EEALSBMR, EDCT, and EDWT. Steganalysis using wavelet decomposition and classifiers (SVM, FLD) shows detection limitations for smaller message sizes in EEALSBMR and EDCT, but not EDWT.

Keywords:
FLDSVMchaotic systemfeature vectorsteganalysissteganographywavelet

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Area of Science:

  • Information Security
  • Digital Watermarking
  • Cryptography

Background:

  • Steganography conceals messages within cover media.
  • Existing methods like LSB matching, DCT, and DWT have security vulnerabilities.
  • Chaotic systems offer robust security for embedded data.

Purpose of the Study:

  • To enhance the security of three steganographic methods (EEALSBMR, EDCT, EDWT) using a proposed chaotic system.
  • To evaluate the effectiveness of blind steganalysis techniques in detecting hidden messages.
  • To assess the impact of message size on detection accuracy.

Main Methods:

  • Implementation of Enhanced Edge Adaptive Image Steganography Based on LSB Matching Revisited (EEALSBMR) in the spatial domain.
  • Application of Enhanced Discrete Cosine Transform (EDCT) and Enhanced Discrete Wavelet Transform (EDWT) in the frequency domain.
  • Utilization of a robust chaotic system with a chaotic generator and a 2-D Cat map for message security.
  • Employing blind steganalysis methods based on multi-resolution wavelet decomposition.
  • Using Support Vector Machine (SVM) and Fisher Linear Discriminant (FLD) classifiers for detection.

Main Results:

  • The proposed chaotic system enhances the security of EEALSBMR, EDCT, and EDWT steganographic methods.
  • SVM and FLD classifiers struggle to distinguish cover and stego images for message sizes below 20% (EEALSBMR) and 15% (EDCT).
  • EDWT demonstrates high detection accuracy with SVM and FLD, regardless of message size.

Conclusions:

  • The chaotic system significantly improves steganographic security, particularly against statistical steganalysis.
  • The EDWT method, when secured by the chaotic system, offers superior resistance to detection compared to EEALSBMR and EDCT.
  • The effectiveness of steganalysis is dependent on the steganographic method and the embedded message size.