ENF Power Frequency Data for Location Forensics (IEEE SP Cup 2016 competition)

Citation Author(s):
Crowdsourced
Datasets
Submitted by:
Adi Hajj-Ahmad
Last updated:
Fri, 12/11/2020 - 12:40
DOI:
10.21227/H2159S
Data Format:
Links:
License:
841 Views
Categories:
0
0 ratings - Please login to submit your rating.

Abstract 

At the intersection of signal processing and information forensics, the Signal Processing Cup 2016 global competition has explored a time-varying location-dependent signature of power grids that can be intrinsically captured in media recordings. This signature is called the Electric Network Frequency (ENF) signals. Throughout the SP Cup 2016 competition, participants were provided with multiple training, practice, and testing datasets that consisted of recordings made in different grids and containing ENF traces. Participants were asked to extract the ENF signals from the recordings and use them to build a classification system that seeks to identify the grid-of-origin of an ENF-containing recording.

Instructions: 

Information on this dataset can be found at SigPort at https://sigport.org/documents/information-mast-enf-power-signature-dataset. In addition, please find the Readme files for each of the dataset ZIP files provided.