Authors:
David Werden
;
Matthew Muccioli
and
Anyi Liu
Affiliation:
School of Engineering and Computer Science, Oakland University, Rochester, MI, U.S.A.
Keyword(s):
Automotive Cybersecurity, Autonomous Vehicles, CAN Bus, Distributed Ledger Technology, Hornet, Privacy, Road-Side Units, Tangle.
Abstract:
This paper describes TEEm, a Cyber-Physical test-bed that emulates the data exchange of in-vehicle network communication between multiple vehicles. In particular, TEEm leverages the Distributed Ledger Technology (DLT) as the fundamental technology for data storage and exchange. TEEm uses a private Tangle instance and is extensible, thus we refer to this testing environment as the Tangle-based Elastic Emulator, or TEEm. To mimic realistic in-vehicle network traffic, we use both hardware emulation as well as software containers to replicate vehicles with Electronic Control Units (ECUs). TEEm seamlessly pushes in-vehicle network traffic to an IOTA private Tangle Hornet. Our implementation and evaluation demonstrate the feasibility of applying the DLT in building the shared storage, authenticating vehicles, and effectively retrieving a wide range of data generated by ECUs and other in-vehicle sensors. TEEm holds a great potential to coordinate with other emerging technology, such as Deep
Learning and Edge Computing.
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