Improved CPSoS Security: An Enhanced Anomaly-Based Intrusion Detection Architecture

Marco Stadler; Michael Riegler; Johannes Sametinger; Christoph Schönegger

doi:10.1007/978-3-031-68302-2_1

Improved CPSoS Security: An Enhanced Anomaly-Based Intrusion Detection Architecture

Marco Stadler
, Michael Riegler
, Johannes Sametinger
, Christoph Schönegger

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

Abstract

The prevalence of security risks and the subsequent attacks on Cyber-Physical Systems (CPSs) have reached unprecedented levels. Anomaly-based Intrusion Detection Systems (Ab-IDS) emerged in response to this phenomenon, with the purpose of alerting actors in the event of an attack. However, with the advent of Industry 4.0 and smart manufacturing, CPSs have evolved into progressively more complex systems, giving rise to the Cyber-Physical System of Systems (CPSoS) that imposes a wide range of requirements. In light of this problem, we first identify a set of requirements in this problem space and further derive a novel architecture design for that aims to incorporate Ab-IDS into complex CPSoS environments.

Original language	English
Title of host publication	Database and Expert Systems Applications - DEXA 2024 Workshops
Editors	Bernhard Moser, Lukas Fischer, Anna-Christina Glock, Michael Mayr, Sabrina Luftensteiner, Atif Mashkoor, Johannes Sametinger
Pages	3-13
Number of pages	11
Volume	2169
DOIs	https://doi.org/10.1007/978-3-031-68302-2_1
Publication status	Published - 2024

Publication series

Name	Communications in Computer and Information Science
Volume	2169 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Fields of science

102006 Computer supported cooperative work (CSCW)
102015 Information systems
102016 IT security
102020 Medical informatics
102022 Software development
102027 Web engineering
102034 Cyber-physical systems
509026 Digitalisation research
102040 Quantum computing
502032 Quality management
502050 Business informatics
503015 Subject didactics of technical sciences

JKU Focus areas

Digital Transformation

Access to Document

10.1007/978-3-031-68302-2_1

Cite this

Stadler, M., Riegler, M., Sametinger, J., & Schönegger, C. (2024). Improved CPSoS Security: An Enhanced Anomaly-Based Intrusion Detection Architecture. In B. Moser, L. Fischer, A.-C. Glock, M. Mayr, S. Luftensteiner, A. Mashkoor, & J. Sametinger (Eds.), Database and Expert Systems Applications - DEXA 2024 Workshops (Vol. 2169, pp. 3-13). (Communications in Computer and Information Science; Vol. 2169 CCIS). https://doi.org/10.1007/978-3-031-68302-2_1

Stadler, Marco ; Riegler, Michael ; Sametinger, Johannes et al. / Improved CPSoS Security: An Enhanced Anomaly-Based Intrusion Detection Architecture. Database and Expert Systems Applications - DEXA 2024 Workshops. editor / Bernhard Moser ; Lukas Fischer ; Anna-Christina Glock ; Michael Mayr ; Sabrina Luftensteiner ; Atif Mashkoor ; Johannes Sametinger. Vol. 2169 2024. pp. 3-13 (Communications in Computer and Information Science).

@inproceedings{0198f9927c604fc4b2c1077aff182c67,

title = "Improved CPSoS Security: An Enhanced Anomaly-Based Intrusion Detection Architecture",

abstract = "The prevalence of security risks and the subsequent attacks on Cyber-Physical Systems (CPSs) have reached unprecedented levels. Anomaly-based Intrusion Detection Systems (Ab-IDS) emerged in response to this phenomenon, with the purpose of alerting actors in the event of an attack. However, with the advent of Industry 4.0 and smart manufacturing, CPSs have evolved into progressively more complex systems, giving rise to the Cyber-Physical System of Systems (CPSoS) that imposes a wide range of requirements. In light of this problem, we first identify a set of requirements in this problem space and further derive a novel architecture design for that aims to incorporate Ab-IDS into complex CPSoS environments.",

author = "Marco Stadler and Michael Riegler and Johannes Sametinger and Christoph Sch{\"o}negger",

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doi = "10.1007/978-3-031-68302-2\_1",

language = "English",

isbn = "9783031683015",

volume = "2169",

series = "Communications in Computer and Information Science",

pages = "3--13",

editor = "Bernhard Moser and Lukas Fischer and Anna-Christina Glock and Michael Mayr and Sabrina Luftensteiner and Atif Mashkoor and Johannes Sametinger",

booktitle = "Database and Expert Systems Applications - DEXA 2024 Workshops",

}

Stadler, M, Riegler, M, Sametinger, J & Schönegger, C 2024, Improved CPSoS Security: An Enhanced Anomaly-Based Intrusion Detection Architecture. in B Moser, L Fischer, A-C Glock, M Mayr, S Luftensteiner, A Mashkoor & J Sametinger (eds), Database and Expert Systems Applications - DEXA 2024 Workshops. vol. 2169, Communications in Computer and Information Science, vol. 2169 CCIS, pp. 3-13. https://doi.org/10.1007/978-3-031-68302-2_1

Improved CPSoS Security: An Enhanced Anomaly-Based Intrusion Detection Architecture. / Stadler, Marco; Riegler, Michael; Sametinger, Johannes et al.
Database and Expert Systems Applications - DEXA 2024 Workshops. ed. / Bernhard Moser; Lukas Fischer; Anna-Christina Glock; Michael Mayr; Sabrina Luftensteiner; Atif Mashkoor; Johannes Sametinger. Vol. 2169 2024. p. 3-13 (Communications in Computer and Information Science; Vol. 2169 CCIS).

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

TY - GEN

T1 - Improved CPSoS Security: An Enhanced Anomaly-Based Intrusion Detection Architecture

AU - Stadler, Marco

AU - Riegler, Michael

AU - Sametinger, Johannes

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PY - 2024

Y1 - 2024

N2 - The prevalence of security risks and the subsequent attacks on Cyber-Physical Systems (CPSs) have reached unprecedented levels. Anomaly-based Intrusion Detection Systems (Ab-IDS) emerged in response to this phenomenon, with the purpose of alerting actors in the event of an attack. However, with the advent of Industry 4.0 and smart manufacturing, CPSs have evolved into progressively more complex systems, giving rise to the Cyber-Physical System of Systems (CPSoS) that imposes a wide range of requirements. In light of this problem, we first identify a set of requirements in this problem space and further derive a novel architecture design for that aims to incorporate Ab-IDS into complex CPSoS environments.

AB - The prevalence of security risks and the subsequent attacks on Cyber-Physical Systems (CPSs) have reached unprecedented levels. Anomaly-based Intrusion Detection Systems (Ab-IDS) emerged in response to this phenomenon, with the purpose of alerting actors in the event of an attack. However, with the advent of Industry 4.0 and smart manufacturing, CPSs have evolved into progressively more complex systems, giving rise to the Cyber-Physical System of Systems (CPSoS) that imposes a wide range of requirements. In light of this problem, we first identify a set of requirements in this problem space and further derive a novel architecture design for that aims to incorporate Ab-IDS into complex CPSoS environments.

UR - https://www.scopus.com/pages/publications/85203126775

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DO - 10.1007/978-3-031-68302-2_1

M3 - Conference proceedings

SN - 9783031683015

VL - 2169

T3 - Communications in Computer and Information Science

SP - 3

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BT - Database and Expert Systems Applications - DEXA 2024 Workshops

A2 - Moser, Bernhard

A2 - Fischer, Lukas

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A2 - Luftensteiner, Sabrina

A2 - Mashkoor, Atif

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ER -

Stadler M, Riegler M, Sametinger J, Schönegger C. Improved CPSoS Security: An Enhanced Anomaly-Based Intrusion Detection Architecture. In Moser B, Fischer L, Glock AC, Mayr M, Luftensteiner S, Mashkoor A, Sametinger J, editors, Database and Expert Systems Applications - DEXA 2024 Workshops. Vol. 2169. 2024. p. 3-13. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-68302-2_1

Improved CPSoS Security: An Enhanced Anomaly-Based Intrusion Detection Architecture

Abstract

Publication series

UN SDGs

Fields of science

JKU Focus areas

Access to Document

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