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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
convolutional neural nets
biblio
Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search
Submitted by
grigby1
on Fri, 05/22/2020 - 2:34pm
security of data
convolutional neural nets
pubcrawl
internet
Big Data
deep learning
Metrics
Measurement
nearest neighbour methods
adversarial perturbations
convolutional networks
nearest neighbor search
adversarial image
data distribution
Datasets and Evaluation
image manifold
image representation
ImageNet
Large Scale Methods
nearest-neighbor defense settings
representation learning
visual databases
Visual Reasoning
Web-scale image database
Web-scale nearest-neighbor search
biblio
A novel network intrusion detection algorithm based on Fast Fourier Transformation
Submitted by
aekwall
on Mon, 05/11/2020 - 11:19am
computer network security
machine learning algorithms
learning (artificial intelligence)
Resiliency
pubcrawl
composability
Metrics
network intrusion detection
CNN
convolutional neural nets
convolutional neural networks
network traffic
Intrusion Detection
Image coding
image classification
deep learning
CNN model
NSL-KDD
NSL-KDD dataset
deep learning techniques
FFT
Discrete Fourier transforms
fast Fourier transformation
fast Fourier transforms
intrusion detection problem
Matrix converters
network intrusion detection algorithm
representation learning
biblio
An Improved Convolutional Neural Network Model for Intrusion Detection in Networks
Submitted by
aekwall
on Mon, 05/11/2020 - 11:18am
Intrusion Detection
security of data
Kernel
Support vector machines
network security
feature extraction
learning (artificial intelligence)
Resiliency
pubcrawl
composability
Metrics
pattern classification
network intrusion detection
machine learning
CNN
convolutional neural nets
convolutional neural networks
cyber security
convolution
convolutional neural network algorithm
improved convolutional neural network model
intrusion samples
KDD99 datasets
low detection rate
network intrusion detection model
popular detection technology
traditional machine learning technology
biblio
Node Identification in Wireless Network Based on Convolutional Neural Network
Submitted by
grigby1
on Fri, 05/08/2020 - 3:01pm
learning (artificial intelligence)
Training
collaboration
feature extraction
convolution
convolutional neural nets
pubcrawl
policy-based governance
resilience
Resiliency
wireless sensor networks
deep learning
Ad hoc networks
wireless network
Metrics
computational complexity
wireless networks
gradient methods
Ad-Hoc Network
convolutional neural network
convolutional neural networks
local feature extraction
node identification
principal component analysis
softmax model
stochastic gradient descent method
Neural Network Security
biblio
Cyberthreat Detection from Twitter using Deep Neural Networks
Submitted by
grigby1
on Fri, 05/08/2020 - 2:43pm
tools
deep learning
learning (artificial intelligence)
security of data
convolutional neural nets
Neural networks
pubcrawl
policy-based governance
collaboration
recurrent neural nets
computer security
public domain software
Metrics
Task Analysis
deep neural networks
threat detection
convolutional neural network
social networking (online)
Twitter
bidirectional long short-term memory network
classification task
cybersecurity information
cybersecurity-related sources
cyberthreat detection
cyberthreat intelligence
event management systems
indicators of compromise
information streams
IT infrastructure
named entity recognition task
open source intelligence platforms
OSINT
pipeline processing
security alert
security information
security-related information
social media networks
Neural Network Security
biblio
LuNet: A Deep Neural Network for Network Intrusion Detection
Submitted by
grigby1
on Fri, 05/08/2020 - 2:43pm
learning (artificial intelligence)
Training
feature extraction
machine learning
convolutional neural nets
Intrusion Detection
pubcrawl
policy-based governance
collaboration
computer network security
intrusion detection system
network attack
recurrent neural nets
telecommunication traffic
network users
Kernel
Metrics
convolutional neural network
Recurrent neural networks
advanced network attacks
AI-based solutions
Deep Neural Network
detection capability
hierarchical CNN+RNN neural network
input traffic data learning
intelligent capability
large scale network
LuNet
network intrusion detection
network intrusion detection techniques
network traffic data
network traffic datasets
recurrent neural network
security issue
signature-based approach
spatial features
temporal features
Neural Network Security
biblio
Understanding the Influence of Graph Kernels on Deep Learning Architecture: A Case Study of Flow-Based Network Attack Detection
Submitted by
aekwall
on Mon, 05/04/2020 - 11:15am
Computer crime
computer network security
IP networks
Kernel
computer architecture
learning (artificial intelligence)
Resiliency
pubcrawl
graph theory
Neural networks
convolutional neural nets
network traffic
deep learning
deep neural networks
Network Security Architecture
anomaly-based approaches
deep learning architecture
flow-based network attack detection
Graph Kernel
network attack detection
network attack detection tasks
network attack detection technology
network security practices
networked system
biblio
Convolutional Neural Network based Foreground Segmentation for Video Surveillance Systems
Submitted by
aekwall
on Mon, 04/13/2020 - 10:28am
Kernel
feature extraction
Resiliency
Human behavior
pubcrawl
Metrics
CNN
convolutional neural nets
convolutional neural network
Entropy
image segmentation
interpolation
object detection
video surveillance
video surveillance system
computer vision
Biological system modeling
Change detection
Change detection algorithms
constructed foreground mask
dynamic backgrounds
extracted feature maps
Foreground segmentation
foreground segmentation algorithm
foreground segmentation methods
ground truth
illumination changes
image sequences
static foreground object
upsampled feature mask
video sequences
video surveillance systems
biblio
Anomaly Detection in Surveillance Videos
Submitted by
aekwall
on Mon, 04/13/2020 - 10:28am
security of data
feature extraction
learning (artificial intelligence)
Resiliency
Human behavior
pubcrawl
Metrics
LSTM networks
Training
convolutional neural nets
Anomaly Detection
convolutional neural networks
image classification
video signal processing
recurrent neural nets
classification
surveillance
video surveillance
Videos
anomalous behavior
anomaly classification
CNN-LSTM model
explosion
Explosions
Frames
learning patterns
long short-term memory networks
public safety
road accidents
spatial feature extraction
spatial feature learning
surveillance videos
temporal feature learning
UCF Crime dataset
biblio
Drone Detection in Long-Range Surveillance Videos
Submitted by
aekwall
on Mon, 04/13/2020 - 10:27am
security of data
Detectors
drones
learning (artificial intelligence)
Resiliency
Human behavior
pubcrawl
Metrics
Training
convolutional neural nets
Terrorism
security breaches
Proposals
deep learning
object detection
video surveillance
Videos
autonomous aerial vehicles
Birds
CNN-based architectures
deep learning-based object detection
detection methods
drone detection
Faster R-CNN
Faster-RCNN
high-security risks
long-range surveillance videos
single shot detector
SSD
tracking surveillance
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