A Tri-Modular Human-on-the-Loop Framework for Intelligent Smart Grid Cyber-Attack Visualization

Aditya Sundararajan, Tanwir Khan, Haneen Aburub, Arif I. Sarwat, Shahinur Rahman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Scopus citations

Abstract

To minimize the effort required by human security operators in understanding and resolving attacks on the smart grid cyber-physical system, automated detection, prevention and mitigation tools have been integrated into the infrastructure. However, existing visualization frameworks at command and control centers present information from such tools in a nonintuitive, non-contextual format, reducing the situation awareness and timeliness of decisions. There is a need for frameworks that can contextualize the data in a human-understandable format prior to visualizing. To this end, the paper conducts a high-level review of existing literature, and introduces a conceptual human-on-the-loop framework of three modules: data analyzer comprising Kafka, Apache Spark and R, classifier comprising a deep neural network, and situation-aware decision-maker comprising a learning-based cognitive model. Preliminary proof of concept is shown for data analyzer by applying it to contextualize alerts from multiple photovoltaic systems in Florida.

Original languageEnglish
Title of host publicationSoutheastcon 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538661338
DOIs
StatePublished - Oct 1 2018
Externally publishedYes
Event2018 IEEE Southeastcon, Southeastcon 2018 - St. Petersburg, United States
Duration: Apr 19 2018Apr 22 2018

Publication series

NameConference Proceedings - IEEE SOUTHEASTCON
Volume2018-April
ISSN (Print)1091-0050
ISSN (Electronic)1558-058X

Conference

Conference2018 IEEE Southeastcon, Southeastcon 2018
Country/TerritoryUnited States
CitySt. Petersburg
Period04/19/1804/22/18

Funding

The material published is a result of the research supported by the U.S. Department of Energy under the Award number DE-OE0000779.

Keywords

  • Apache Spark
  • cyber-physical security
  • data processing
  • human-on-the-loop
  • situation awareness
  • smart grid

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