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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
pattern classification
biblio
Predicting Distributed Denial of Service Attacks in Machine Learning Field
Submitted by grigby1 on Thu, 01/05/2023 - 2:20pm
Training
machine learning
Support vector machines
pubcrawl
Metrics
resilience
Resiliency
Protocols
composability
independent component analysis
classification
Search methods
pattern classification
modified Cuckoo Search
Modified Source Support Vector Machine
supply vector machines
biblio
ECG Signal Classification Using Convolutional Neural Networks for Biometric Identification
Submitted by grigby1 on Tue, 04/19/2022 - 10:44am
Metrics
Telecommunications
Spectrogram
signal processing security
Signal processing algorithms
Resiliency
resilience
pubcrawl
privacy
pattern classification
Biological system modeling
Electrocardiography
ECG signal processing
Databases
convolutional neural network
composability
classification
biometrics (access control)
biometrics
biblio
Radar Intra-Pulse Modulation Signal Classification Using CNN Embedding and Relation Network under Small Sample Set
Submitted by grigby1 on Tue, 03/01/2022 - 4:26pm
Receivers
Training
Technological innovation
small sample set
Scalability
RN
Resiliency
resilience
Reconnaissance
CNN
Radar signal classification
radar imaging
pubcrawl
pattern classification
novel class
Network reconnaissance
modulation
biblio
Insider Threat Detection using an Artificial Immune system Algorithm
Submitted by grigby1 on Thu, 04/08/2021 - 4:56pm
malicious insiders
NSA
negative selection algorithms
negative selection algorithm
insider threat activities
computer emergency response team synthetic insider threat dataset
CERT
artificial immune systems
artificial immune system algorithm
Ensemble
anomaly detection system
malicious insider
legitimate users
learning (artificial intelligence)
Metrics
pattern classification
Resiliency
resilience
policy-based governance
Human behavior
pubcrawl
Anomaly Detection
Insider Threat Detection
insider threat
security of data
biblio
Insider Threat Detection with Face Recognition and KNN User Classification
Submitted by grigby1 on Thu, 04/08/2021 - 4:53pm
image authenticity
face recognition
authentication mechanism
Face
security concerns
Facial features
cloud insider
Cloud Penetration
cloud user community
Degree of Trust
factor authentication
nearest neighbour methods
kNN classification algorithm
KNN Classification and QoS
KNN user Classification
private cloud deployments
Security Method
threat detection model
Threat detection module
threat detection QoS
insider threat
policy-based governance
authorisation
Cloud Computing
information security
Insider Threat Detection
machine learning
Monitoring
Insider Threats
pubcrawl
Human behavior
security of data
resilience
Resiliency
message authentication
authentication
quality of service
cloud storage
pattern classification
sensitive information
Metrics
biblio
A Deep Learning-based Malware Hunting Technique to Handle Imbalanced Data
Submitted by aekwall on Mon, 03/29/2021 - 11:59am
Generative Adversarial Network(GAN)
generative adversarial network
LSTM
Predictive Metrics
machine learning approaches
antivirus companies
common threats
convolutional neural network (CNN)
cyber-security dangers
deep learning-based malware hunting technique
deep learning
Imbalanced
imbalanced training data sets
long short term memory
Long Short Term Memory(LSTM)
multiple class classification problems
Opcode
opcode sequences
oversampling minority classes
Generative Adversarial Learning
pattern classification
malware
invasive software
Data models
machine learning algorithms
feature extraction
learning (artificial intelligence)
Resiliency
pubcrawl
Computational modeling
Scalability
internet
Training
CNN
convolutional neural nets
convolutional neural network
generative adversarial networks
recurrent neural nets
malware samples
biblio
A Learning-based Data Augmentation for Network Anomaly Detection
Submitted by aekwall on Mon, 03/29/2021 - 11:58am
divide-augment-combine strategy
sampling methods
class imbalance problem
network anomaly detection
attack instances
augments data
data augmentation
data instances
Divide-Augment-Combine
Gallium nitride
generative adversarial model
high-quality data
learning-based data augmentation
network traffic traces
public network datasets
statistical sampling
synthetic instances
Generative Adversarial Learning
pattern classification
Scalability
Data models
Support vector machines
learning (artificial intelligence)
machine learning
Resiliency
pubcrawl
neural nets
security of data
Anomaly Detection
network traffic
Generators
generative adversarial networks
generative adversarial network
Predictive Metrics
data handling
biblio
Addressing Imbalanced Data Problem with Generative Adversarial Network For Intrusion Detection
Submitted by aekwall on Mon, 03/29/2021 - 11:58am
Neural network (NN)
imbalanced data problem
Imbalanced dataset
Intrusion Detection
learning (artificial intelligence)
machine learning
MLP Neural Network
Multilayer Perceptron
multilayer perceptrons
network security.
Generators
Neural networks
pattern classification
Predictive Metrics
pubcrawl
Scalability
security of data
Training
UGR16 dataset
Cyber Attacks
Compositionality
Resiliency
adversarial samples
Attack detection
attack labels
balanced attack sample dataset
benign data
classification
Information Reuse and Security
Data models
data wrangling
defense mechanisms
Gallium nitride
Generative Adversarial Learning
generative adversarial network
Generative Adversarial Network (GAN)
generative adversarial networks
biblio
imdpGAN: Generating Private and Specific Data with Generative Adversarial Networks
Submitted by aekwall on Mon, 03/29/2021 - 11:57am
Predictive Metrics
Generative Adversarial Learning
Privacy-preserving Learning
learning latent representations
learned representations
information maximizing differentially private generative adversarial network
imdpGAN
end to end framework
personally identifiable information
binary classification
face recognition
privacy protection
private data
Scalability
differential privacy
deep learning
generative adversarial networks
Generators
Training
Data protection
pattern classification
neural nets
privacy
pubcrawl
Resiliency
learning (artificial intelligence)
biblio
An Improved Fuzzy Min–Max Neural Network for Data Classification
Submitted by aekwall on Mon, 03/22/2021 - 1:12pm
Brain modeling
semiperimeter
pattern classification problems
k-nearest FMM
improved fuzzy min-max network
improved FMM network
IFMM network
hyperbox semiperimeter
hyperbox classifier
histopathological images
fuzzy neural nets
fuzzy min–max (FMM) neural network
fuzzy min-max network
Euclidian geometry
Enhanced fuzzy min–max (EFMM) model
Adaptation models
minimax techniques
adaptive systems
Compositionality
expandability
data classification
image classification
Biological neural networks
Artificial Neural Networks
fuzzy set theory
Training
pattern classification
pubcrawl
Resiliency
nearest neighbour methods
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