Cited by 84Smart Grid Security and ResilienceDigital and Cyber ForensicsSmart Grid and Power Systems

The DOI matches its Crossref record.

Smart grid forensic science: applications, challenges, and open issues

Erol-Kantarci, M., Mouftah, H. T.·2013·IEEE Communications Magazine

Abstract

Smart grid forensic science is a newly flourishing research area that is tightly coupled with cyber and physical security of the smart grid. Post-mortem analysis of a power system after a cyber attack or natural disaster generally provides the most accurate comprehension of the real-world vulnerabilities of the system and helps to protect the grid against similar attacks in the future as well as avoid failures during disasters. Besides increasing the security level of the smart grid, smart grid forensics aids evidence collection for the service of criminal justice. For instance, data extracted from smart meters and data collectors can provide evidence to legal proceedings in electricity theft matters. Furthermore, authentication and timestamping audio recordings using power grid frequency have been employed in several recent academic studies, as well as by the Metropolitan Police Forensic Audio Laboratory in London. Briefly, smart grid forensic science is emerging as a powerful security component of the power system. On the other hand, storage and processing of the enormous amount of data introduce significant challenges together with the privacy issue. In this article, we introduce the emerging application areas of smart grid forensic science, discuss the challenges, and outline the open issues in the topic. This article aims to serve as a roadmap for future smart grid forensic studies.

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Crossref · 10.1109/mcom.2013.6400441

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Research works printed but not linked: 11

  1. 10.1016/j.camwa.2010.01.002 · DOI
  2. 10.1109/MSP.2008.931078 · DOI
  3. erol-kantarci, 2011, Reli-able Overlay Topology Design for the Smart Microgrid Network, IEEE Network Special Issue on Communication I nfrastructu res for Sma rt G rid, 25, 38
  4. 10.1007/978-3-642-02312-5_9 · DOI
  5. 10.1109/SURV.2012.010912.00035 · DOI
  6. cooper, 0, The Electric Network Frequency (ENF) as an Aid to Authenticating Forensic Digital Audio Recordings-an Automated Approach, Proc 33rd tnt?l Conf Audio Forensics Theory and Practice
  7. 10.1109/MSP.2010.40 · DOI
  8. 10.1504/IJSN.2008.017222 · DOI
  9. kwasinski, 2011, Disaster Forensics, IEEE Spectrum
  10. 10.1109/GLOCOM.2011.6133788 · DOI
  11. amin, 2011, Toward A More Secure, Strong and Smart Electric Power Grid, IEEE Smart Grid Newsletter

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Metadata

Authors
Erol-Kantarci, M., & Mouftah, H. T.
Affiliations
University of Ottawa (CA)
Venue
IEEE Communications Magazine
Published
2013-01
Volume
51
Issue
1
Pages
68-74
ISSN
0163-6804 (ISSN-L)
OpenAlex
W2108756230
Cited by
84
References
0
Citations by year
2026: 2 · 2025: 1 · 2024: 8 · 2023: 8 · 2022: 7 · 2021: 6 · 2020: 10 · 2019: 4 · 2018: 6 · 2017: 8 · 2016: 9 · 2015: 7 · 2014: 6 · 2013: 2
FWCI
10.51
Type
journal article
Language
en
Open access
closed
Locations
  • IEEE Communications Magazine (publishedVersion)
  • Istanbul Technical University Academic Open Archive (Istanbul Technical University) (submittedVersion)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Smart Grid Security and Resilience
  • Physical Sciences › Computer Science › Information Systems › Digital and Cyber Forensics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid and Power Systems
Keywords
smart grid security, post-mortem analysis, power grid vulnerability, smart meter data, power system frequency, privacy challenges, data storage and processing

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