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Cyber-Physical Production System Fingerprinting

: Stock, Daniel; Schel, Daniel

Volltext urn:nbn:de:0011-n-5527458 (1.0 MByte PDF)
MD5 Fingerprint: 1562744533df8a976d76d09c8e217b2b
(CC) by-nc-nd
Erstellt am: 9.8.2019

Procedia CIRP 81 (2019), S.393-398
ISSN: 2212-8271
Conference on Manufacturing Systems (CMS) <52, 2019, Ljubljana>
Konferenzbeitrag, Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IPA ()
Cyber-Physisches Produktionssystem; Systemsicherheit

Modern machines in manufacturing are equipped with integrated computing, communication, and self-x capabilities, thus transforming into Cyber-Physical Production Systems (CPPS). Common security relies on communication encryption and machine identity is often ensured by certificates and PKI. This paper examines the possibilities regarding security and secure identity for CPPS. We look at concepts which have been presented by researchers in the past, e.g. device or OS fingerprinting, biometrical respectively hylemetrical methods and self-description abilities of CPPS components. We propose how they can be used to construct a hybrid fingerprint for CPPS, to increase security and build a secure identity for CPPS.