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Detection of Audio Tampering Based on Electric Network Frequency Signal.
Hsiang-Ping Hsu1, Zhong-Ren Jiang2, Lo-Ya Li2
1Forensic Science Division, Ministry of Justice Investigation Bureau, New Taipei City 231, Taiwan.
Sensors (Basel, Switzerland)
|August 26, 2023
Summary
This study introduces a new method for detecting audio tampering using the Electric Network Frequency (ENF) signal. The approach achieves high accuracy, enhancing multimedia file authenticity and forensic analysis.
Area of Science:
- Digital Forensics
- Signal Processing
- Electrical Engineering
Background:
- Audio tampering poses a significant threat to multimedia integrity.
- The Electric Network Frequency (ENF) signal offers a potential method for verifying audio authenticity.
- A robust Chinese ENF database is essential for developing reliable detection methods.
Purpose of the Study:
- To develop and evaluate a novel method for detecting audio tampering using ENF signals.
- To establish a comprehensive Chinese ENF database for research and development.
- To assess the impact of environmental factors and recording devices on ENF signal analysis.
Main Methods:
- Extraction of the Electric Network Frequency (ENF) signal from audio recordings.
- Application of wavelet decomposition for signal analysis.
- Utilizing autoregressive models for classification and tamper detection.
Main Results:
- The proposed ENF-based method achieved high accuracy rates of 91% to 93% in detecting audio tampering.
- Experimental evaluations validated the method's effectiveness on the Chinese ENF database.
- The study identified the influence of environmental conditions and recording devices on ENF signal integrity.
Conclusions:
- ENF-based approaches are highly effective for enhancing audio file forensics.
- The developed method provides a reliable technique for multimedia authentication.
- Further research into environmental influences can improve the robustness of ENF-based tamper detection.
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