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Multi-Mode Systems for Resilient Security in Industry 4.0

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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.
OriginalspracheEnglisch
TitelISM 2020, International Conference on Industry 4.0 and Smart Manufacturing, Hagenberg, Austria November 23-25, 2020, virtual event.
Seiten301-307
Seitenumfang7
Band180
DOIs
PublikationsstatusVeröffentlicht - 2021

Publikationsreihe

NameProcedia Computer Science

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 9 – Industrie, Innovation und Infrastruktur
    SDG 9 – Industrie, Innovation und Infrastruktur

Wissenschaftszweige

  • 202017 Embedded Systems
  • 102002 Augmented Reality
  • 102006 Computer Supported Cooperative Work (CSCW)
  • 102015 Informationssysteme
  • 102020 Medizinische Informatik
  • 102022 Softwareentwicklung
  • 102034 Cyber-Physical Systems
  • 201132 Computational Engineering
  • 201305 Verkehrstechnik
  • 207409 Navigationssysteme
  • 502032 Qualitätsmanagement
  • 502050 Wirtschaftsinformatik
  • 503015 Fachdidaktik Technische Wissenschaften

JKU-Schwerpunkte

  • Digital Transformation

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