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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Unsupervised Learning
biblio
An error neighborhood-based detection mechanism to improve the performance of anomaly detection in industrial control systems
Submitted by grigby1 on Fri, 08/18/2023 - 3:11pm
Predictive models
Unsupervised Learning
Anomaly Detection
pubcrawl
resilience
performance evaluation
Scalability
industrial control
integrated circuits
industrial control system
real-time systems
ICS Anomaly Detection
Resiliency
Sensor phenomena and characterization
detection mechanism
Mechanical sensors
biblio
Analysis and Research of Generative Adversarial Network in Anomaly Detection
Submitted by grigby1 on Thu, 08/03/2023 - 1:11pm
Scalability
Time measurement
supervised learning
Generative Adversarial Learning
generative adversarial networks
generative adversarial network
deep learning
Computational modeling
Data models
signal processing
Resiliency
resilience
Metrics
pubcrawl
Anomaly Detection
Unsupervised Learning
Training
biblio
Anomaly Detection by Recombining Gated Unsupervised Experts
Submitted by grigby1 on Fri, 07/21/2023 - 12:29pm
resilience
mixture-of-experts
IT security
expert systems
Knowledge engineering
Fuses
Training data
Scalability
Analytical models
Resiliency
Logic gates
Human behavior
pubcrawl
Neural networks
Anomaly Detection
Unsupervised Learning
Data mining
security
deep learning
biblio
ATVSA: Vehicle Driver Profiling for Situational Awareness
Submitted by aekwall on Fri, 01/20/2023 - 3:12pm
pubcrawl
vehicle
Unsupervised Learning
Training
situational awareness
Semisupervised learning
security situational awareness
security
Resiliency
Anti-theft
Predictive Metrics
Prediction algorithms
feature extraction
driver profiling
composability
Clustering algorithms
Classification algorithms
biblio
PGAN:A Generative Adversarial Network based Anomaly Detection Method for Network Intrusion Detection System
Submitted by grigby1 on Tue, 09/20/2022 - 12:28pm
real-time systems
Traffic identification
supervised learning
Human Factors
expert systems
Unsupervised Learning
generative adversarial network
generative adversarial networks
network security
Training
intrusion detection system
telecommunication traffic
privacy
Scalability
Human behavior
pubcrawl
Anomaly Detection
biblio
Unsupervised Anomaly Detection in Data Quality Control
Submitted by grigby1 on Fri, 06/10/2022 - 12:49pm
Organizations
Unsupervised Learning
Anomaly Detection
pubcrawl
Scalability
Data models
process control
Big Data
Decision Making
data integrity
human in the loop
automated data quality control
data quality assessment
data quality control
Quality Control
biblio
Insider Threat Detection Using An Unsupervised Learning Method: COPOD
Submitted by grigby1 on Tue, 06/07/2022 - 10:07am
Human behavior
tree structure analysis
insider threat
Vegetation
Metrics
composability
Companies
Communication networks
policy-based governance
feature extraction
pubcrawl
Intrusion Detection
Insider Threat Detection
Anomaly Detection
Unsupervised Learning
Forestry
security
biblio
Application of Deep Learning for Crowd Anomaly Detection from Surveillance Videos
Submitted by grigby1 on Mon, 04/25/2022 - 2:54pm
deep learning
security
Anomaly Detection
pubcrawl
resilience
Resiliency
Scalability
Metrics
Error analysis
surveillance
one-class classification
Unsupervised Learning
video surveillance
deep video
visual analytics
biblio
A Malware Detection Approach Using Malware Images and Autoencoders
Submitted by aekwall on Tue, 09/21/2021 - 10:08am
Task Analysis
pubcrawl
Resiliency
Human behavior
privacy
Training data
malware
malware detection
Sensor Systems
Malware Analysis
autoencoders
Labeling
malware images
supervised learning
Unsupervised Learning
Predictive Metrics
biblio
Analysing the Role of Supervised and Unsupervised Machine Learning in IoT
Submitted by aekwall on Tue, 09/21/2021 - 9:45am
security
Support vector machines
Clustering algorithms
Internet of Things (IoT)
machine learning
Classification algorithms
malware
supervised learning
Unsupervised Learning
ML techniques
Supervised Learning and Unsupervised Learning
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