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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
machine learning (ML)
biblio
Machine Learning-Based Network Vulnerability Analysis of Industrial Internet of Things
Submitted by grigby1 on Fri, 09/18/2020 - 2:08pm
vulnerability assessment
command injection attacks
supervisory control and data acquisition (SCADA)
structuredquery language injection attacks
intrusion detection solutions
Industrial Internet of Things (IIoT)
Industrial Internet of Things
IIoT systems
cyber-vulnerability assessment
cyber attack
electromagnetic interference
Big Data Analytics
IDS
SQL
machine learning (ML)
cyber-attacks
Internet of Things
Metrics
Structured Query Language
Protocols
network security
composability
production engineering computing
Intrusion Detection
intrusion detection system
Resiliency
resilience
pubcrawl
data analysis
machine learning
security of data
learning (artificial intelligence)
biblio
A Survey on Machine Learning Based Detection on DDoS Attacks for IoT Systems
Submitted by aekwall on Mon, 06/29/2020 - 12:46pm
Metrics
DDoS attack detection
resource IoT devices
machine learning based detection
machine learning (ML)
distributed denial of service attacks
Distributed Denial of Service (DDoS) attack
denial of service (dos)
comprehensive detection method
common malicious attacks
IoT networks
DDoS Defense
Object recognition
machine learning
Computer crime
composability
pubcrawl
Human behavior
Resiliency
learning (artificial intelligence)
feature extraction
DDoS Attacks
Support vector machines
performance evaluation
Internet of Things (IoT)
Internet of Things
computer network security
biblio
Application of Machine Learning for Online Dynamic Security Assessment in Presence of System Variability and Additive Instrumentation Errors
Submitted by grigby1 on Fri, 06/26/2020 - 1:19pm
PMU measurements
erroneous measurements
grid security assessment
IEEE-118 bus system
large-scale blackouts
Load modeling
machine learning (ML)
phasor measurement unit (PMU)
phasor measurement unit data
PMU data
dynamic security assessment (DSA)
power grids
power system measurement
renewable generation
seasonal load profiles
security prediction
synchrophasor technology
Transient analysis
Voltage measurement
cyber-physical systems
power engineering computing
power system security
pubcrawl
composability
Metrics
Resiliency
Databases
learning (artificial intelligence)
machine learning
security
measurement errors
online dynamic security assessment
phasor measurement
Phasor measurement units
power system control
power system stability
additive instrumentation errors
DSA scheme
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 - 2:44pm
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
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