Blind Extraction and Security Analysis of Spread Spectrum Hidden Watermarks

Abstract

In the area of covert network communications, the focus has been on spread spectrum (SS) techniques using correlated host data, applicable to many data hiding and covert communications applications. Our work relates to the Iterative Generalized Least Squares (IGLS) blind signature recovery algorithm of Gkizeli et al.1, and can be summarized as follows: (1) We have performed extensive Monte Carlo simulations that characterize the convergence properties of the algorithm as a function of signature length, host distortion, and number of hidden bits; (2) We have developed and characterized the behavior of a fully blind extension of the IGLS algorithm, called the BC-IGLS (Blind IGLS using Clustering); (3) We have developed and performed a characterization study of an extension to the IGLS algorithm, called the MS-IGLS (Multi Signature IGLS), that performs blind extraction of multiple signatures in multi-user embedding applications.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2012
Accession Number
ADA565364

Entities

People

  • Gerard F. Wohlrab
  • John A. Marsh

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Clustering
  • Code Division Multiple Access
  • Convergence
  • Data Sets
  • Detection
  • Distortion
  • Eigenvalues
  • Eigenvectors
  • Embedding
  • Extraction
  • Filters
  • Recovery
  • Security
  • Spectra
  • Spread Spectrum

Readers

  • Computational Modeling and Simulation
  • Radio communications and signal processing.
  • Wave Propagation and Nonlinear Chaotic Dynamics.