skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Exploiting Spatial Signatures of Power ENF Signal for Measurement Source Authentication

Abstract

Electric Network Frequency (ENF) signals are the signatures of power systems that are either directly recorded from the power outlets or extracted from multimedia recordings near the electrical activities. Variations of ENF signals collected at different locations possess local environmental characteristics, which can be used as a potential fingerprint for authenticating measurements' source information. Within this paper is proposed a computational intelligence-based framework to recognize the source locations of power ENF signals within a distribution network in the US. To be more specific, a set of informative location-sensitive signatures from ENF measurements are initially extract with such measurements representative of local grid characteristics. Then these distinctive location-dependent signatures are further fed into a data mining algorithm yielding the “source-of-origin” of ENF measurements. Experimental results using ENF data at multiple intra-grid locations have validated the proposed methodology.

Authors:
 [1];  [2]; ORCiD logo [2];  [2]
  1. The University of Tennessee, Knoxville
  2. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1558521
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: 2018 IEEE International Symposium on Technologies for Homeland Security (HST 2018) - Woburn, Massachusetts, United States of America - 10/23/2018 8:00:00 AM-10/24/2018 8:00:00 AM
Country of Publication:
United States
Language:
English

Citation Formats

CUI, YI, Liu, Yilu, Fuhr, Peter L., and Morales Rodriguez, Marissa E. Exploiting Spatial Signatures of Power ENF Signal for Measurement Source Authentication. United States: N. p., 2018. Web. doi:10.1109/THS.2018.8574151.
CUI, YI, Liu, Yilu, Fuhr, Peter L., & Morales Rodriguez, Marissa E. Exploiting Spatial Signatures of Power ENF Signal for Measurement Source Authentication. United States. doi:10.1109/THS.2018.8574151.
CUI, YI, Liu, Yilu, Fuhr, Peter L., and Morales Rodriguez, Marissa E. Mon . "Exploiting Spatial Signatures of Power ENF Signal for Measurement Source Authentication". United States. doi:10.1109/THS.2018.8574151. https://www.osti.gov/servlets/purl/1558521.
@article{osti_1558521,
title = {Exploiting Spatial Signatures of Power ENF Signal for Measurement Source Authentication},
author = {CUI, YI and Liu, Yilu and Fuhr, Peter L. and Morales Rodriguez, Marissa E.},
abstractNote = {Electric Network Frequency (ENF) signals are the signatures of power systems that are either directly recorded from the power outlets or extracted from multimedia recordings near the electrical activities. Variations of ENF signals collected at different locations possess local environmental characteristics, which can be used as a potential fingerprint for authenticating measurements' source information. Within this paper is proposed a computational intelligence-based framework to recognize the source locations of power ENF signals within a distribution network in the US. To be more specific, a set of informative location-sensitive signatures from ENF measurements are initially extract with such measurements representative of local grid characteristics. Then these distinctive location-dependent signatures are further fed into a data mining algorithm yielding the “source-of-origin” of ENF measurements. Experimental results using ENF data at multiple intra-grid locations have validated the proposed methodology.},
doi = {10.1109/THS.2018.8574151},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {10}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share: