Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Wiley Interdisciplin...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Wiley Interdisciplinary Reviews Forensic Science
Article . 2018 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
versions View all 1 versions
addClaim

Industrial IoT cross‐layer forensic investigation

Authors: Christopher M. Rondeau; Michael A. Temple; Juan Lopez;

Industrial IoT cross‐layer forensic investigation

Abstract

Cross‐layer forensic investigation is addressed for Industrial Internet of Things (IIoT) device attacks in Critical Infrastructure (CI) applications. The operational motivation for cross‐layer investigation is provided by the desire to directly correlate bit‐level network anomaly detection with physical layer (PHY) device connectivity and/or status (normal, defective, attacked, etc.) at the time of attack. The technical motivation for developing cross‐layer techniques is motivated by (a) having considerable capability in place for Higher‐Layer Digital Forensic Information exploitation—real‐time network cyberattack and postattack analysis, (b) having considerably less capability in place for Lowest‐Layer PHY Forensic Information exploitation—the PHY domain remains largely under exploited, and (c) considering cyber‐physical integration as a means to jointly exploit higher‐layer digital and lowest‐layer PHY forensic information to maximize investigative benefit in IIoT cyber forensics. A delineation of higher‐layer digital and lowest‐layer PHY elements is provided for the standard network Open Systems Interconnection model and the specific Perdue Enterprise Reference Architecture commonly used in IIoT Industrial Control System/Supervisory Control and Data Acquisition applications. A forensics work summary is provided for each delineated area based on selected representative publications and provides the basis for presenting the envisioned cross‐layer forensic investigation.This article is categorized under: Digital and Multimedia Science > Cyber Threat Intelligence Digital and Multimedia Science > IoT Forensics

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    17
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Top 10%
gold