2016
Triantafyllopoulos, Andreas; Krilis, Ioannis; Foliadis, Anastasios; Skodras, Athanassios
A Hilbert-Based Approach to the ENF Extraction Problem Proceedings Article
In: IEICE Information and Communication Technology Forum 2016 (ICTF 2016), 2016.
Abstract | BibTeX | Tags: ENF, Hilbert
@inproceedings{Triantafyllopoulos2016,
title = {A Hilbert-Based Approach to the ENF Extraction Problem},
author = {Andreas Triantafyllopoulos and Ioannis Krilis and Anastasios Foliadis and Athanassios Skodras},
year = {2016},
date = {2016-01-01},
booktitle = {IEICE Information and Communication Technology Forum 2016 (ICTF 2016)},
abstract = {The estimation of location based on the time varying Electric Network Frequency (ENF) is a new emerging technology in Information Forensics. This requires the extraction of the ENF signal from multimedia recordings and a comparison with already known power grid signatures. In this paper, we focus on ENF signal extraction and statistical modelling of ENF signals. We introduce a novel technique based on instantaneous frequency estimation using the Hilbert transform, which shows promising results.},
keywords = {ENF, Hilbert},
pubstate = {published},
tppubtype = {inproceedings}
}
The estimation of location based on the time varying Electric Network Frequency (ENF) is a new emerging technology in Information Forensics. This requires the extraction of the ENF signal from multimedia recordings and a comparison with already known power grid signatures. In this paper, we focus on ENF signal extraction and statistical modelling of ENF signals. We introduce a novel technique based on instantaneous frequency estimation using the Hilbert transform, which shows promising results.