Recording device identification by ENF harmonics power analysis

Dima Bykhovsky

doi:10.1016/j.forsciint.2019.110100

Recording device identification by ENF harmonics power analysis

Dima Bykhovsky

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

Abstract

Two important aspects of digital audio forensics are integrity validation of the recorded contents and identification of the acquisition device that produced the recording. One of the effective methods for integrity validation is based on induced electrical network frequency (ENF) signal analysis. The goal of this paper is to extend the usage of the ENF signal for the identification of the acquisition device. The proposed identification method is based on the harmonic amplitude coefficients of ENF signals that are effectively applied as feature vectors. The evaluation results demonstrate the efficacy of the proposed approach.

Original language	English
Article number	110100
Journal	Forensic Science International
Volume	307
DOIs	https://doi.org/10.1016/j.forsciint.2019.110100
State	Published - 1 Feb 2020
Externally published	Yes

Keywords

Acoustic signal forensics
Audio signal forensics
Electrical network frequency
Recording device identification

ASJC Scopus subject areas

Pathology and Forensic Medicine

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10.1016/j.forsciint.2019.110100

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title = "Recording device identification by ENF harmonics power analysis",

abstract = "Two important aspects of digital audio forensics are integrity validation of the recorded contents and identification of the acquisition device that produced the recording. One of the effective methods for integrity validation is based on induced electrical network frequency (ENF) signal analysis. The goal of this paper is to extend the usage of the ENF signal for the identification of the acquisition device. The proposed identification method is based on the harmonic amplitude coefficients of ENF signals that are effectively applied as feature vectors. The evaluation results demonstrate the efficacy of the proposed approach.",

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author = "Dima Bykhovsky",

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AB - Two important aspects of digital audio forensics are integrity validation of the recorded contents and identification of the acquisition device that produced the recording. One of the effective methods for integrity validation is based on induced electrical network frequency (ENF) signal analysis. The goal of this paper is to extend the usage of the ENF signal for the identification of the acquisition device. The proposed identification method is based on the harmonic amplitude coefficients of ENF signals that are effectively applied as feature vectors. The evaluation results demonstrate the efficacy of the proposed approach.

KW - Acoustic signal forensics

KW - Audio signal forensics

KW - Electrical network frequency

KW - Recording device identification

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ER -

Recording device identification by ENF harmonics power analysis

Abstract

Keywords

ASJC Scopus subject areas

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