Recurrent neural networks

biblio

ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks

Submitted by grigby1 on Thu, 03/04/2021 - 2:55pm

real-time detection
ZeroWall
zero-day Web attacks
Zero-day attacks
zero-day attack request
Zero day attacks
widely-deployed signature-based Web Application Firewalls
web security
Syntactics
Semantics
security of data
Resiliency
resilience
Recurrent neural networks
Anomaly Detection
pubcrawl
Metrics
internet
historical Web requests
Hidden Markov models
Firewalls (computing)
existing WAF
existing signature-based WAF
encoder-decoder recurrent neural network
digital signatures
defense
computer network security
composability

biblio

Using Deep Learning Techniques for Network Intrusion Detection

Submitted by grigby1 on Tue, 02/23/2021 - 2:47pm

composability
RNN
network intrusion attacks
intelligent network intrusion detection system
cyber-security attacks
convolutional neural network
neural network
deep learning techniques
network intrusion detection
Recurrent neural networks
recurrent neural network
convolutional neural networks
deep learning
learning (artificial intelligence)
recurrent neural nets
network security
computer network security
Resiliency
resilience
Metrics
pubcrawl
Intrusion Detection
convolutional neural nets
CNN
machine learning
feature extraction

biblio

XSS Detection Technology Based on LSTM-Attention

Submitted by grigby1 on Wed, 02/10/2021 - 1:21pm

LSTM-attention detection model
XSS attacks
abstract features
added attention mechanism
attention mechanism
context-related features
Cross-site scripting (XSS)
inadequate feature extraction
long short-term memory recurrent neural network
cross-site scripting
malicious attack codes
traditional XSS detection methods
Word2Vec
XSS codes
XSS detection model
XSS detection technology
XSS payload features
Cross Site Scripting
Scalability
learning (artificial intelligence)
security of data
feature extraction
pubcrawl
Human behavior
resilience
Resiliency
robots
deep learning
Data models
internet
recurrent neural nets
pattern classification
Recurrent neural networks
Context modeling
LSTM

biblio

Sentimental Style Transfer in Text with Multigenerative Variational Auto-Encoder

Submitted by grigby1 on Fri, 12/11/2020 - 2:54pm

resilience
vae
transfer sentiment values
textual data
text analysis
Text
style-transfer
style
sentimental style transfer
sentiment-transfer
Scalability
Resiliency
audio data
Recurrent neural networks
recurrent neural nets
pubcrawl
neural style transfer
multigenerative variational auto-encoder
Metrics
long short-term memories
learning (artificial intelligence)
Image Processing
generative adversarial network
deep learning

biblio

Variational Encoder-Decoder Recurrent Neural Network (VED-RNN) for Anomaly Prediction in a Host Environment

Submitted by aekwall on Mon, 11/09/2020 - 1:20pm

Hidden Markov models
Information Reuse and Security
VED-RNN
variational encoder-decoder recurrent neural network
System-calls
system-call traces
sequence to sequence model
sequence to sequence
security tools
prediction model input data representation
HIDS
anomaly prediction
one-class classification
NIDS
security of data
Compositionality
Intrusion Detection Systems
Recurrent neural networks
recurrent neural nets
Predictive models
Anomaly Detection
Prediction algorithms
pattern classification
Decoding
pubcrawl
Resiliency
Classification algorithms

biblio

A Compositionality Assembled Model for Learning and Recognizing Emotion from Bodily Expression

Submitted by aekwall on Mon, 11/02/2020 - 2:29pm

adaptive learning techniques
single components
RNN learning
real-time emotion recognition
nonlinear dynamic bifurcation
internal emotional state
human body expression
hierarchical recurrent neural learning framework
hierarchical model
express our internal status
compositionality principle
compositionality hypothesis
bodily presentation
bodily expression
bifurcation
Adaptation models
adaptive learning
emotion recognition
Computing Theory and Compositionality
Compositionality
Human Factors
Recurrent neural networks
recurrent neural nets
robots
Training
Neurons
pubcrawl
Human behavior
machine learning
learning (artificial intelligence)

biblio

An Accurate False Data Detection in Smart Grid Based on Residual Recurrent Neural Network and Adaptive threshold

Submitted by grigby1 on Wed, 10/14/2020 - 12:39pm

false data injection attack
cyber physical systems
Transmission line measurements
False Data Detection
power system state estimation
accurate false data detection
Adaptive detection threshold
adaptive judgment threshold
adaptive threshold
Recurrent neural networks
FDIA detection method
linear prediction model
malicious attack
R2N2 model
Residual recurrent neural network
residual recurrent neural network prediction model
Weibull distribution
state estimation
security of data
Predictive models
pubcrawl
Human behavior
resilience
Resiliency
Mathematical model
Data models
Adaptation models
recurrent neural nets
power engineering computing
power system security
Smart Grid
smart power grids
composability
cyber-attacks

biblio

Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks

Submitted by grigby1 on Mon, 10/05/2020 - 2:01pm

RGB input data
MSTRNN model aid
multiple spatio-temporal scales recurrent neural network model
multiple timescale recurrent dynamics
neural activities
pubcrawl
recurrent neural nets
recurrent neural network
Recurrent neural networks
learning (artificial intelligence)
spatio-temporal constraints
spatio-temporal information extraction
Spatiotemporal phenomena
symbol grounding
Training
visualization
visually perceived compositional human action recognition
different compositionality levels
Biological neural networks
Compositionality
conventional convolutional neural network model
convolution
Convolutional codes
convolutional neural network (CNN)
critical spatio-temporal information
deep learning model
action recognition
dynamic vision processing
feature extraction
feedforward neural nets
gesture recognition
human action datasets
image motion analysis
image representation

biblio

A Hierarchy-to-Sequence Attentional Neural Machine Translation Model

Submitted by grigby1 on Mon, 10/05/2020 - 2:01pm

semantic compositionality modeling
neural nets
optimal model parameters
parameter learning
pubcrawl
recurrent neural nets
Recurrent neural networks
segmented clause sequence
segmented clauses
neural machine translation
Semantics
sequence-to-sequence attentional neural machine translation
short clauses
Speech
speech processing
text analysis
Training
translation prediction
hierarchical neural network structure
Chinese-English translation
clause level
Compositionality
Context modeling
conventional NMT model
Decoding
English-German translation
grammars
attention models
Hierarchy-to-sequence
hierarchy-to-sequence attentional neural machine translation model
hierarchy-to-sequence attentional NMT model
language translation
learning (artificial intelligence)
long parallel sentences
natural language processing

biblio

Performance Comparison of Support Vector Machine, K-Nearest-Neighbor, Artificial Neural Networks, and Recurrent Neural networks in Gender Recognition from Voice Signals

Submitted by aekwall on Mon, 08/10/2020 - 10:36am

mel frequency kepstrum coefficients
voice signals
Voice Signal
Support vector machines
support vector machine
Resiliency
Recurrent Neural Networks (RNN)
Recurrent neural networks
recurrent neural nets
pubcrawl
policy-based governance
Artificial Neural Networks
K-Nearest-Neighbor
k-nearest neighborhood method
gender recognition
feature extraction
cyber physical systems
biometrics (access control)
biometric data
audio signal processing
audio signal

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Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

Recurrent neural networks

ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks

Using Deep Learning Techniques for Network Intrusion Detection

XSS Detection Technology Based on LSTM-Attention

Sentimental Style Transfer in Text with Multigenerative Variational Auto-Encoder

Variational Encoder-Decoder Recurrent Neural Network (VED-RNN) for Anomaly Prediction in a Host Environment

A Compositionality Assembled Model for Learning and Recognizing Emotion from Bodily Expression

An Accurate False Data Detection in Smart Grid Based on Residual Recurrent Neural Network and Adaptive threshold

Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks

A Hierarchy-to-Sequence Attentional Neural Machine Translation Model

Performance Comparison of Support Vector Machine, K-Nearest-Neighbor, Artificial Neural Networks, and Recurrent Neural networks in Gender Recognition from Voice Signals