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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Neural networks
biblio
A Hybrid Optimization Framework Based on Genetic Algorithm and Simulated Annealing Algorithm to Enhance Performance of Anomaly Network Intrusion Detection System Based on BP Neural Network
Submitted by grigby1 on Fri, 06/12/2020 - 12:10pm
optimization strategy
learning rate
momentum term
network anomaly detection
network infrastructure attacks
network intrusion detection system
network security
neural nets
Neural networks
Intrusion Detection
optimized ANIDS based BPNN
pubcrawl
resilience
Resiliency
simulated annealing
simulated annealing algorithm
soft computing tool
Training
computer networks
Anomaly Detection
anomaly network intrusion detection system
back propagation neural network
Backpropagation
BP Neural Network
Classification algorithms
Compositionality
computer network security
ANIDS BPNN-GASAA
computer security
Cryptography
fitness value hashing
genetic algorithm
genetic algorithms
hash algorithms
hybrid optimization
biblio
On Application of Natural Language Processing in Machine Translation
Submitted by aekwall on Mon, 05/18/2020 - 10:53am
Mathematical model
statistical corpora
Scalability
Resiliency
pubcrawl
pub
Neural networks
neural nets
neural machine translation
natural language processing
Big Data
machine translation
learning (artificial intelligence)
language translation
Human behavior
History
Google
deep learning
Decoding
biblio
Deep Embedding Logistic Regression
Submitted by aekwall on Mon, 05/11/2020 - 11:28am
Predictive models
nonlinear dimension-wise feature embedding
narrow neural network
LR
interpretability
DNNs
DELR
deep embedding logistic regression
classification accuracy
actionability
network accountability
accountability
deep neural networks
Numerical models
Kernel
regression analysis
Mathematical model
Logistics
pattern classification
Neural networks
neural nets
Metrics
classification
composability
pubcrawl
Resiliency
learning (artificial intelligence)
feature extraction
biblio
Network Intrusion Detection Based on Deep Learning
Submitted by aekwall on Mon, 05/11/2020 - 11:19am
Neurons
network monitoring data
network intrusion detection method
deep confidence neural network
deep confidence
computer network technology
network intrusion
probability
Intrusion Detection
BP Neural Network
Computer hacking
network intrusion detection
computer network security
Neural networks
neural nets
Backpropagation
Metrics
deep learning
composability
pubcrawl
Resiliency
learning (artificial intelligence)
feature extraction
biblio
Computer network intrusion detection using sequential LSTM Neural Networks autoencoders
Submitted by aekwall on Mon, 05/11/2020 - 11:12am
Unsupervised Learning
variable length data sequence
sequential LSTM Neural Networks autoencoders
sequential intrusion detection
sequential data
sequential autoencoder
network data sequence
long short term memory neural network
GRU
fixed length data sequence
computer network intrusion detection
computer network data
Bi-LSTM
autoencoders
encoding
LSTM
computer network security
computer networks
Payloads
Intrusion Detection
Training
network intrusion detection
Neural networks
neural nets
Decoding
Metrics
Iterative methods
composability
pubcrawl
Resiliency
feature extraction
biblio
Information Network Risk Assessment Based on AHP and Neural Network
Submitted by grigby1 on Fri, 05/08/2020 - 2:54pm
Metrics
Neural Network Security
system risk value
security risk assessment
risk judgment matrix consistency
neural network technology
neural network
information network security risk assessment application
information network risk assessment
automatic assessment
asset risk value
analytic hierarchy process
AHP method
AHP
information network
risk analysis
security of data
neural nets
information networks
Communication networks
Object recognition
matrix algebra
Resiliency
resilience
policy-based governance
pubcrawl
Neural networks
security
risk management
collaboration
Training
biblio
Network Security Situation Prediction Model Based on Multi-Swarm Chaotic Particle Optimization and Optimized Grey Neural Network
Submitted by grigby1 on Fri, 05/08/2020 - 2:54pm
particle swarm optimisation
Neural Network Security
prediction model
optimized grey neural network
nonlinear mapping
network situation value
network situation
network security situation prediction model
network security protection
network security incidents
multiswarm chaotic particle optimization
MSCPO
mathematical expressions
grey systems
grey neural network
convergence speed
collaboration
Metrics
neural nets
Communication networks
cyber security
Data models
Mathematical model
optimization
computer network security
Resiliency
resilience
policy-based governance
pubcrawl
Neural networks
security
Predictive models
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
biblio
Using GRU neural network for cyber-attack detection in automated process control systems
Submitted by grigby1 on Fri, 05/08/2020 - 2:44pm
neural nets
Neural Network Security
operating parameters
multivariate time series
information security breaches
GRU-neural network training
forecasting theory
forecasting multivariate time series
end system devices
cyber-attack detection
automated process control systems
APCS
Time series analysis
forecasting
Metrics
security of data
deep learning
production engineering computing
process control
water treatment
control engineering computing
collaboration
policy-based governance
pubcrawl
time series
Neural networks
Anomaly Detection
security
Training
biblio
Cyberthreat Detection from Twitter using Deep Neural Networks
Submitted by grigby1 on Fri, 05/08/2020 - 2:43pm
security alert
Neural Network Security
Neural networks
open source intelligence platforms
OSINT
pipeline processing
policy-based governance
pubcrawl
public domain software
recurrent neural nets
Resiliency
named entity recognition task
security information
security of data
security-related information
social media networks
social networking (online)
Task Analysis
threat detection
tools
Twitter
cyberthreat detection
bidirectional long short-term memory network
classification task
collaboration
computer security
convolutional neural nets
convolutional neural network
cyber physical systems
cybersecurity information
cybersecurity-related sources
Artificial Neural Networks
cyberthreat intelligence
deep learning
deep neural networks
event management systems
indicators of compromise
information streams
IT infrastructure
learning (artificial intelligence)
Metrics
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