  Cyber-Physical systems (CPS) have complex lifecycles involving multiple
stakeholders, and the transparency of both hardware and software components'
supply chain is opaque at best. This raises concerns for stakeholders who may
not trust that what they receive is what was requested. There is an opportunity
to build a cyberphysical titling process offering universal traceability and
the ability to differentiate systems based on provenance. Today, RFID tags and
barcodes address some of these needs, though they are easily manipulated due to
non-linkage with an object or system's intrinsic characteristics. We propose
cyberphysical sequencing as a low-cost, light-weight and pervasive means of
adding track-and-trace capabilities to any asset that ties a system's physical
identity to a unique and invariant digital identifier. CPS sequencing offers
benefits similar Digital Twins' for identifying and managing the provenance and
identity of an asset throughout its life with far fewer computational and other
resources.

Cryptography and Security;Artificial Intelligence