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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
class imbalance problem
biblio
A Sequential Supervised Machine Learning Approach for Cyber Attack Detection in a Smart Grid System
Submitted by grigby1 on Tue, 07/12/2022 - 2:38pm
composability
Cyber Dependencies
smart grid system
class imbalance problem
supervised learning
cyberattack
Compositionality
Reliability
Metrics
Classification algorithms
Smart Grids
deep learning
intrusion detection system
Computational modeling
Scalability
Resiliency
resilience
Human behavior
pubcrawl
machine learning
machine learning algorithms
Training
biblio
A Learning-based Data Augmentation for Network Anomaly Detection
Submitted by aekwall on Mon, 03/29/2021 - 10:58am
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
Tackling Class Imbalance in Cyber Security Datasets
Submitted by aekwall on Mon, 11/09/2020 - 12:12pm
Compositionality
Information Reuse and Security
Velocity measurement
UNSW-NB15
Size measurement
SANTA dataset
outdated datasets
old attacks
information infrastructure
cyber security datasets
class imbalance
class imbalance problem
security of data
Predictive models
cyber security
computer security
cyber-attacks
Training
machine learning
pubcrawl
Resiliency
learning (artificial intelligence)
machine learning algorithms
Time measurement
biblio
An empirical study of intelligent approaches to DDoS detection in large scale networks
Submitted by aekwall on Mon, 06/29/2020 - 11:46am
intensity
attack scenarios
class imbalance problem
comprehensive empirical evaluation
DDoS detection
distributed denial-of-services attacks
empirical evaluation
frequency
intelligent approaches
alarming rate
large scale networks
machine learning based DDoS detection techniques
machine learning techniques
ML-based DDoS detection capabilities
ML-based detection techniques
Performance Metrics
DDoS attack detection
Computer crime
denial-of-service attack
Sensitivity
empirical study
Benchmark testing
internet
Metrics
composability
pubcrawl
Human behavior
Resiliency
learning (artificial intelligence)
feature extraction
DDoS Attacks
Monitoring
computer network security
