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Recording device identification by ENF harmonics power analysis.

Dima Bykhovsky1

  • 1Electrical and Electronics Engineering Department, Shamoon College of Engineering, 56 Bialik St., Beer-Sheva 8410802, Israel.

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Summary

This study uses electrical network frequency (ENF) signal analysis to identify the device that recorded audio. The method analyzes harmonic amplitude coefficients for effective device identification in digital audio forensics.

Keywords:
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Area of Science:

  • Digital Forensics
  • Signal Analysis
  • Electrical Engineering

Background:

  • Digital audio forensics requires verifying content integrity and identifying recording devices.
  • Electrical Network Frequency (ENF) signal analysis is a known method for audio integrity validation.

Purpose of the Study:

  • To extend the application of ENF signal analysis for identifying the audio acquisition device.
  • To develop a novel method for device identification in digital audio forensics.

Main Methods:

  • Utilizing the induced electrical network frequency (ENF) signal.
  • Applying harmonic amplitude coefficients of ENF signals as feature vectors.
  • Evaluating the proposed identification method's performance.

Main Results:

  • The proposed method effectively uses ENF signal harmonic amplitude coefficients.
  • Demonstrated efficacy in identifying the acquisition device based on ENF signal features.
  • The approach shows promise for enhancing digital audio forensic capabilities.

Conclusions:

  • ENF signal analysis can be successfully applied to identify audio acquisition devices.
  • Harmonic amplitude coefficients serve as effective features for device identification.
  • This research contributes a new tool for digital audio forensic investigations.