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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Connected autonomous vehicles
biblio
ECU Fingerprinting through Parametric Signal Modeling and Artificial Neural Networks for In-vehicle Security against Spoofing Attacks
Submitted by grigby1 on Fri, 05/08/2020 - 1:44pm
parametric signal modeling
ECU fingerprinting
eight-channel lengths
electronic control unit (ECU)
feature-set
Image edge detection
in-vehicle control networks
in-vehicle security
Intrusion Detection System (IDS)
lumped element model
Lumped element model (LEM)
machine learning (ML)
modern electric vehicles
on-board communications
data theft
performance matrix (PM)
Physical layer
received signal
receiver operating characteristic (ROC)
spoofing attacks
traditional cybersecurity methods
Transfer functions
transmitted messages
transmitter
Transmitters
transmitting electronic control unit
unique transfer function
Neural Network Security
artificial neural network (ANN)
pubcrawl
policy-based governance
collaboration
computer network security
message authentication
telecommunication security
Cryptographic Protocols
Protocols
neural nets
Metrics
confidentiality
neural network
Artificial Neural Networks
Neural networks
autonomous vehicles
basic security features
CAN messages
CAN network
channel imperfections
channel-specific step response
communication system
Connected autonomous vehicles
control system parameters
Controller area network (CAN)
controller area network protocol
controller area networks
file
Automated Discovery of Data Validity for Safety-Critical Feedback Control in a Population of Connected Vehicles
Submitted by sbrennan on Thu, 01/09/2020 - 5:10pm. Contributors:
Sean Brennan
Craig Beal
Cindy Chen
Kshitij Jerath
Connected autonomous vehicles
data certainty
Allan variance
spatiotemporal averaging
stability
database-in-the-loop
Posters
1931927
1932509
1932138
CPS PI Meeting 2019
2019
NSF
U.S. Government
Poster
