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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
feature learning
biblio
Analysis of Anomaly Detection Approaches Performed Through Deep Learning Methods in SCADA Systems
Submitted by grigby1 on Mon, 03/14/2022 - 11:36am
Resiliency
feature learning
SCADA Systems Security
Extreme learning machines
Industrial Control Systems
SCADA
Compositionality
SCADA systems
Software
computer architecture
resilience
Human behavior
pubcrawl
Intrusion Detection
Anomaly Detection
Training
deep learning
biblio
A Machine Learning Approach to Malicious JavaScript Detection using Fixed Length Vector Representation
Submitted by grigby1 on Mon, 12/10/2018 - 10:38am
pubcrawl
malicious JavaScript detection
malicious JS code detection
malicious JS codes
Metrics
neural nets
neural network model
Neural networks
pattern classification
plugin software
Predictive models
machine learning
resilience
Resiliency
Support vector machines
Vectors
web applications
Web site
Web sites
Zero day attacks
Zero-day attacks
drive-by-download attacks
Browsers
classifier model
composability
Context modeling
cyberattacks
Cybersecurity
D3M Dataset
defense
Doc2Vec
Doc2Vec features
authoring languages
Drive-by-Download Data
feature extraction
feature learning
features extraction
fixed length vector representation
invasive software
Java
JavaScript
learning (artificial intelligence)
biblio
Autoencoder-Based Feature Learning for Cyber Security Applications
Submitted by grigby1 on Mon, 04/02/2018 - 11:40am
invasive software
Vectors
Training
Resiliency
resilience
pubcrawl
policy-based governance
pattern classification
Metrics
malware classication
malware
machine learning
learning (artificial intelligence)
AE
Intrusion Detection
feature vector
feature learning
feature extraction
encoding
cyber security
computer security
computer network security
autoencoder
Artificial Neural Networks
anomaly intrusion detection
