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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
autoencoders
biblio
Determination of the Optimal Ratio of Normal to Anomalous Points in the Problem of Detecting Anomalies in the Work of Industrial Control Systems
Submitted by aekwall on Thu, 06/09/2022 - 11:38am
information security
scalable systems
Scalability
Resiliency
pubcrawl
power systems
machine learning
Intrusion Detection
integrated circuits
ICS Anomaly Detection
industrial control systems (ICS)
Industrial Control Systems
industrial control
high-speed networks
feature extraction
deep learning
control systems
autoencoders
biblio
A Malware Detection Approach Using Malware Images and Autoencoders
Submitted by aekwall on Tue, 09/21/2021 - 11:08am
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
Assessment of the Applicability of Autoencoders in the Problem of Detecting Anomalies in the Work of Industrial Control Systems.
Submitted by grigby1 on Tue, 03/30/2021 - 11:53am
industrial facilities
Task Analysis
Scalability
Resiliency
resilience
pubcrawl
process control systems
process control
Neurons
machine learning
learning (artificial intelligence)
integrated circuits
information security
Industries
anomalies detection
industrial control systems (ICS)
industrial control system
industrial control
ICS Anomaly Detection
deep learning
Decoding
convolutional neural networks
convolutional neural nets
control engineering computing
complex problems
classification problems
autoencoders
auto-encoders
biblio
A Study on Combating Emerging Threat of Deepfake Weaponization
Submitted by grigby1 on Fri, 01/15/2021 - 12:03pm
Fake image
deepfake detection
audio-visual systems
audios
autoencoders
believable synthetic content
combating emerging threat
deepfake technology
deepfake weaponization
fake content
Information integrity
Fake Video
Forgery
genuine content
low-tech doctored images
Multimedia systems
signature forgery
spatial steganalysis
temporal steganalysis
Scalability
learning (artificial intelligence)
security of data
machine learning
pubcrawl
Human behavior
Human Factors
Metrics
Resiliency
deep learning
Medical services
neural nets
resilience
human computer interaction
generative adversarial networks
Videos
Weapons
DeepFake
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
Keystroke Dynamics Using Auto Encoders
Submitted by grigby1 on Tue, 01/28/2020 - 2:35pm
Human Factors
Training
timing
stolen credentials
risk based approach
pubcrawl
password
Metrics
message authentication
machine learning
learning (artificial intelligence)
Keystrokes Dynamics
keystroke dynamics
keystroke analysis
individual user
anomalous typing patterns
Human behavior
Heuristic algorithms
fraud
feature extraction
dynamic flags
digital signatures
digital signature
Cyber Attacks
credential based authentication systems
biometrics (access control)
autoencoders
authorisation
authentication
biblio
KATE: K-Competitive Autoencoder for Text
Submitted by grigby1 on Tue, 02/06/2018 - 1:34pm
autoencoders
competitive learning
composability
Human behavior
Human Factors
Metrics
pubcrawl
representation learning
Scalability
text analytics
biblio
Anomaly Detection with Robust Deep Autoencoders
Submitted by grigby1 on Tue, 01/16/2018 - 6:33pm
Anomaly Detection
autoencoders
denoising
group robust deep autoencoder
Human Factors
Metrics
Pervasive Computing Security
pubcrawl
Resiliency
robust deep autoencoders
Scalability
