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Multi-Mode Systems for Resilient Security in Industry 4.0

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

In the era of the Internet of Things and Industry 4.0, machines and devices are increasingly getting connected. These connections go hand in hand with security vulnerabilities and potential threats to these devices. In regular IT systems, we typically provide updates to eliminate vulnerabilities. In industrial automation and control systems, especially in mass production, legacy systems are widespread and installing updates causes downtime. Availability is one of the top goals; stopping a machine in case of a cyber-security threat is often too expensive. But, system integrators and asset owners should not have to wait until product or component suppliers release appropriate updates. Due to safety and warranty requirements, developing and distributing updates can take a long time. In the meantime, attackers can pose threats by taking advantage of devices’ known vulnerabilities. In this paper, we propose the design of resilient systems based on multi-modal architectures with several operational modes. When vulnerabilities of systems become known, or when systems get even attacked at some point, mode switching can overcome the time between vulnerability disclosure or attack, and the availability of corresponding security patches. Therefore, system integrators and asset owners can actively protect themselves by implicitly or explicitly switching to modes with reduced attack surfaces and, thus, with limited ranges of activity for attackers.
Original languageEnglish
Title of host publicationISM 2020, International Conference on Industry 4.0 and Smart Manufacturing, Hagenberg, Austria November 23-25, 2020, virtual event.
Pages301-307
Number of pages7
Volume180
DOIs
Publication statusPublished - 2021

Publication series

NameProcedia Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Fields of science

  • 202017 Embedded systems
  • 102002 Augmented reality
  • 102006 Computer supported cooperative work (CSCW)
  • 102015 Information systems
  • 102020 Medical informatics
  • 102022 Software development
  • 102034 Cyber-physical systems
  • 201132 Computational engineering
  • 201305 Traffic engineering
  • 207409 Navigation systems
  • 502032 Quality management
  • 502050 Business informatics
  • 503015 Subject didactics of technical sciences

JKU Focus areas

  • Digital Transformation

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