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A reference architecture for digital immune systems
Publikationstyp
Conference Paper
Date Issued
2026-06
Sprache
English
First published in
Number in series
16787 LNCS
Start Page
129
End Page
143
Citation
26th International Conference on Computational Science, ICCS 2026
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
Springer
ISBN of container
978-3-032-29909-3
978-3-032-29908-6
978-3-032-29910-9
Modern structural health monitoring (SHM) systems and the physical structures being monitored constitute coupled cyber-physical systems that must be protected as a whole. As a consequence, threats no longer solely stem from structural anomalies, but also from internal SHM system faults and, in particular, from cyberattacks that may falsify sensor data, disrupt communication, or even sabotage critical infrastructure. The capabilities required to withstand the threats are often subsumed under the notion of a “digital immune system”. However, prior work on digital immune systems either targets other application domains that cannot be directly transferred to civil infrastructure or uses the label “digital immune system” as a buzzword without systematically mapping biological immune functions to digital counterparts. This paper presents a biologically inspired reference architecture for digital immune systems for civil infrastructure, defines and formally specifies the threat categories relevant to coupled cyber-physical SHM systems, introduces a compact illustrative sensor-fault scenario, and derives implementation-oriented recommendations intended to support computational modeling and simulation. Explicitly drawing from the biological immune functions, the reference architecture includes innate and adaptive layers, distinguishing between cellular-oriented, local modules and humoral-oriented, global elements. The architecture is intended to serve as a generally applicable blueprint for designing digital immune systems for civil infrastructure, aiming to advance cyber-physical SHM systems at the interface between civil engineering and computer science.
Subjects
Artificial immune systems
Computational modeling
Cyber-physical systems
Cybersecurity
Digital immune systems
Fault diagnosis
Structural health monitoring
DDC Class
617: Surgery, Regional Medicine, Dentistry, Ophthalmology, Otology, Audiology
005.8: Computer Security
Funding(s)