Resilient data: An interdisciplinary approach

Char Sample, Sin Ming Loo, Matt Bishop

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

Abstract

Cybersecurity continues the migration toward data-informed solutions and the quality of the data is gaining in importance. Data accuracy is foundational to the trustworthiness required of artificial intelligence solutions. Trustworthy data must be accurate, robust, resistant and resilient to unauthorized modifications, going beyond traditional security solutions that perform data integrity checking. Cyber-physical systems present unique challenges with physical outcomes.Cyber-physical systems present unique challenges in achieving trustworthy data. The combination of security data and safety data is unique. Capturing both sets of data and determining the accuracy of that data requires an interdisciplinary approach. This effort describes the merging of information theory and information security constructs along with physical systems data. Knowledge is needed in control systems engineering, cybersecurity and information theory. As training data that informs decisions and feeds artificial intelligence algorithms accuracy and resilience are important.Resilient data is trustworthy data that represents a research challenge offering an opportunity to apply lessons learned from information disorders into the broader cybersecurity environment including the cyber-physical systems that power much of the US critical infrastructure. Creating resilient data, for use as training data requires data be examined in ways that have not historically been a part of traditional cybersecurity analysis. This effort describes a proposed method of contextually evaluating cyber-physical systems security data in order to determine the accuracy of the data and in the event of tampering, reconstitute the data to the last known trustworthy state.

Original languageEnglish
Title of host publication2020 Resilience Week, RWS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-10
Number of pages10
ISBN (Electronic)9781728186931
DOIs
StatePublished - 19 Oct 2020
Event2020 Resilience Week, RWS 2020 - Virtual, Online, United States
Duration: 19 Oct 202023 Oct 2020

Publication series

Name2020 Resilience Week, RWS 2020

Conference

Conference2020 Resilience Week, RWS 2020
Country/TerritoryUnited States
CityVirtual, Online
Period19/10/2023/10/20

Keywords

  • contextual data
  • data resilience
  • descriptive data
  • operational profile
  • perturbation
  • temporal data
  • trustworthy data

Fingerprint

Dive into the research topics of 'Resilient data: An interdisciplinary approach'. Together they form a unique fingerprint.

Cite this