Intrusion Detection and Prevention in Industrial Internet of Things: A Study

Nicholas Jeffrey, Qing Tan, José R. Villar

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

Abstract

The Industrial Internet of Things (IIoT) brings the ubiquitous connectivity of the Internet of Things (IoT) to industrial processes, optimizing manufacturing and civil infrastructures with assorted “smart” technologies. This ubiquitous connectivity to industrial processes has increased the attack surface available to threat actors, with increasingly frequent cyber attacks on physical infrastructure resulting in significant economic and life safety consequences, due to service interruptions in power grids, oil distribution pipelines, etc. The difference between IoT and IIoT is largely one of degree, with the consequence of service interruptions to IoT (ie home automation) typically limited to mild inconvenience, while interruptions to IIoT environments (ie power grids) have more significant economic and life safety consequences. The field of Intrusion Detection Systems / Intrusion Prevention Systems (IDS/IPS) has traditionally focused on cyber components rather than physical components, which has resulted in threat detection capabilities in IIoT environments lagging behind their non-industrial counterparts, leading to increasingly frequent attacks by threat actors against critical infrastructure. This paper reviews the current state of IDS/IPS capabilities in industrial environments and compares the maturity and effectiveness to the more established IDS/IPS capabilities of non-industrial Information Technology (IT) networks. As a new contribution, this paper also identifies gaps in the existing research in the field, and maps selected challenges to potential solutions and/or opportunities for further research.

Original languageEnglish
Title of host publicationInternational Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023) - Proceedings
EditorsPablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luis Calvo Rolle, Héctor Quintián, Emilio Corchado
Pages37-48
Number of pages12
DOIs
Publication statusPublished - 2023
Event16th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2023 and 14th International Conference on EUropean Transnational Education, ICEUTE 2023 - Salamanca, Spain
Duration: 5 Sep. 20237 Sep. 2023

Publication series

NameLecture Notes in Networks and Systems
Volume748 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference16th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2023 and 14th International Conference on EUropean Transnational Education, ICEUTE 2023
Country/TerritorySpain
CitySalamanca
Period5/09/237/09/23

Keywords

  • Cyber-Physical Systems
  • IIoT
  • Industrial Internet of Things
  • Intrusion Detection
  • Intrusion Prevention

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