CoChat
Sign Up
Cited by 10Smart Grid Security and ResilienceNetwork Security and Intrusion DetectionInformation and Cyber Security

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

A Tri-Modular Framework to Minimize Smart Grid Cyber-Attack Cognitive Gap in Utility Control Centers

Sundararajan, Aditya, Wei, Longfei, Khan, Tanwir, Sarwat, Arif I., Rodrigo, Deepal·2018·2018 Resilience Week (RWS)
DOI 10.1109/rweek.2018.8473503
Open this paper in CoChat — free account

Abstract

The Operation and Information Technology support personnel at utility command and control centers constantly detect suspicious events and/or extreme conditions across the smart grid. Already overwhelmed by routine mandatory tasks like guidelines compliance and patching that if ignored could incur penalties, they have little time to understand the large volumes of event logs generated by intrusion detection systems, firewalls, and other security tools. The cognitive gap between these powerful automated tools and the human mind reduces the situation awareness, thereby increasing the likelihood of sub-optimal decisions that could be advantageous to well-evolved attackers. This paper proposes a tri-modular framework which shifts low-performance processing speed and data contextualization to intelligent learning algorithms that provide humans only with actionable information, thereby bridging the cognitive gap. The framework has three modules including Data Module (DM): Kafka, Spark, and R to ingest streams of heterogeneous data; Classification Module (CM): a Long Short-Term Memory (LSTM) model to classify processed data; and Action Module (AM): naturalistic and rational models for time-critical and non-time-critical decision-making, respectively. This paper focuses on the design and development of the modules, and demonstrates proof-of-concept of DM using partially synthesized streams of real smart grid network security data.

Overview

Integrity signals

Registry

Crossref · 10.1109/rweek.2018.8473503

Cites

20 of 20 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The emergence of the IoT in ICS has led to new security challenges, which will require newly developed expertise to prepare for a wide variety of attacks that may emerge from the integration of these systems.

    “The emergence of the IoT in ICS has led to new security challenges, which will require newly developed expertise to prepare for a wide variety of attacks that may emerge from the integration of these systems [65,66,67,68,69].”

    From Impact, Vulnerabilities, and Mitigation Strategies for Cyber-Secure Critical Infrastructure. (2023) · cites this paper as [69]

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 6

  1. small, 2011, Defense in depth: An impractical strategy for cyber world, Sans Institute Infosec Reading Room
  2. 2017, National institute of standards and technology (nist) framework for improving critical infrastructure cybersecurity, NIST
  3. sundararajan, 2018, A trimodular human-on-the-loop framework for intelligent smart grid cyberattack visualization, IEEE Southeast Conference
  4. 2017, North american electric reliability corporation (nerc) criticial infrastructure protection compliance standards, NERC
  5. 2012, Improving human performance: From individual to organization and sustaining the results, North American Electric Reliability Corporation (NERC) Technical Presentation
  6. rueters, 2016, Cyberattack that crippled ukrainian power grid was highly coordinated, CBC News, 11

Cited by

Sorted by citations

Related

Metadata

Authors
Sundararajan, A., Wei, L., Khan, T., Sarwat, A. I., & Rodrigo, D.
Affiliations
  • Florida International University (US)
  • HistoryMiami (US)
ORCID
Venue
2018 Resilience Week (RWS)
Publisher
IEEE
Published
2018-08
Volume
35
Pages
117-123
DOI
10.1109/rweek.2018.8473503
OpenAlex
W2892993175
Cited by
10
References
20
Citations by year
2024: 1 · 2023: 1 · 2022: 1 · 2021: 3 · 2019: 3 · 2018: 1
FWCI
2.63
Type
conference paper
Language
en
Open access
closed
Locations
Resilience Week (RWS) (publishedVersion)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Smart Grid Security and Resilience
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
  • Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
Keywords
situational awareness, LSTM classification, decision support, time-critical decision making, network security

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review