Underwater Communications with Acoustic Steganography: Recovery Analysis and Modeling

Abstract

In the modern warfare environment, communication is a cornerstone of combat competence. However, the increasing threat of communications-denied environments highlights the need for communications systems with low probability of intercept and detection. This is doubly true in the subsurface environment, where communications and sonar systems can reveal the tactical location of platforms and capabilities, subverting their covert mission set. A steganographic communication scheme that leverages existing technologies and unexpected data carriers is a feasible means of increasing assurance of communications, even in denied environments. This research works toward a covert communication system by determining and comparing novel symbol recovery schemes to extract data from a signal transmitted under a steganographic technique and interfered with by a simulated underwater acoustic channel. We apply techniques for reliably extracting imperceptible information from unremarkable acoustic events robust to the variability of the hostile operating environment. The system is evaluated based on performance metrics, such as transmission rate and bit error rate, and we show that our scheme is sufficient to conduct covert communications through acoustic transmissions, though we do not solve the problems of synchronization or equalization.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2021
Accession Number
AD1165014

Entities

People

  • Samuel Strelkoff

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Acoustic Channels
  • Acoustics
  • Communication Channels
  • Communication Systems
  • Computational Complexity
  • Computational Science
  • Detection
  • Detectors
  • Diffraction
  • Digital Communications
  • Doppler Effect
  • Frequency Bands
  • Mathematical Filters
  • Modulation
  • Multiple Access
  • Network Science
  • Orthogonal Frequency Division Multiplexing
  • Sensor Networks

Fields of Study

  • Computer science

Readers

  • Cybersecurity.
  • Sensor Fusion and Tracking Systems.
  • Theoretical Analysis.