Training data

biblio

DeepGuard: Deep Generative User-behavior Analytics for Ransomware Detection

Submitted by grigby1 on Tue, 03/30/2021 - 12:04pm

Attack detection
Cybersecurity
Data mining
Deep Autoencoders
deep generative autoencoder architecture
deep generative user-behavior analytics
DeepGuard
file-interaction pattern logging
Human behavior
Human Factors
Informatics
invasive software
learning (artificial intelligence)
neural nets
Organizations
pubcrawl
Ransomware
ransomware activity
ransomware criminals
ransomware detection
ransomware incidence report
security
system monitoring
three-sigma limit rule
tools
Training
Training data
user activity
User behavior Analytics
user behavior modeling
WannaCry

biblio

Cross-domain Anomaly Detection for Power Industrial Control System

Submitted by grigby1 on Tue, 03/30/2021 - 11:52am

Anomaly Detection
feature extraction
ICS Anomaly Detection
industrial control
integrated circuits
Neural networks
Power ICS
Protocols
pubcrawl
resilience
Resiliency
Scalability
TrAdaBoost
Training data
transfer learning

biblio

Emotion Recognition Based on Facial Expressions Using Convolutional Neural Network (CNN)

Submitted by grigby1 on Mon, 03/29/2021 - 1:05pm

CNN
convolutional neural nets
convolutional neural network
Data preprocessing
deep learning
deep learning (artificial intelligence)
emotion detection
emotion recognition
emotion recognition datasets
face recognition
faces
facial emotion recognition
facial expression recognition
facial recognition
feature extraction
FER
Human behavior
human faces
iCV MEFED
image recognition
lighting
Metrics
multiemotion facial expression dataset
psychology
pubcrawl
resilience
Resiliency
Training data

biblio

White-Hat Worm Launcher Based on Deep Learning in Botnet Defense System

Submitted by grigby1 on Tue, 03/09/2021 - 2:21pm

BDS
botnet
botnet defense system
botnets
composability
computer network performance evaluation
computer network security
Data models
deep learning
Grippers
Internet of Things
invasive software
IoT
IoT system
learning (artificial intelligence)
malicious botnets
malware
Mathematical model
Metrics
pubcrawl
resilience
Resiliency
Training data
white-hat botnets
white-hat worm launcher
worms placement

biblio

Black Box to White Box: Discover Model Characteristics Based on Strategic Probing

Submitted by grigby1 on Thu, 03/04/2021 - 2:33pm

black box encryption
composability
Resiliency
Metrics
adversarial attacks
architecture attribution
Black Box Attacks
deep classifier
GPT-2
image based classifiers
image classification
Industries
learning (artificial intelligence)
Libraries
machine learning
model characteristics
Probes
pubcrawl
resilience
security
security of data
strategic probing
text analysis
text generation
text transformer
Training
Training data
tuning
white box
white box adversarial attacks
White Box Security

biblio

Towards implementing fast and scalable Network Intrusion Detection System using Entropy based Discretization Technique

Submitted by grigby1 on Tue, 02/23/2021 - 2:57pm

anomaly based IDS
computer network security
discretization
Entropy
entropy based discretization technique
feature extraction
Hidden Markov models
IDS systems
Intrusion Detection
intrusion detection system
machine learning
network attack
network intrusion detection system
network packets
Network reconnaissance
networking technologies
principal component analysis
pubcrawl
Reconnaissance
resilience
Resiliency
Scalability
Training
Training data

biblio

TIRL: Enriching Actor-Critic RL with non-expert human teachers and a Trust Model

Submitted by aekwall on Mon, 02/01/2021 - 11:40am

learning (artificial intelligence)
Human behavior
pubcrawl
optimal policy
trust model
computer aided instruction
teaching
Training data
human trust
actor-critic agent
actor-critic RL
attractive tools
human model
human teacher
nonexpert human teachers
nonexpert teachers
physical robots
reinforcement learning algorithms
RL architecture
sequential tasks
simulated teachers
sparse teaching signals
teacher demonstrations
TIRL
trust-based interactive task learning

biblio

Pattern Extraction for Behaviours of Multi-Stage Threats via Unsupervised Learning

Submitted by grigby1 on Fri, 01/22/2021 - 1:39pm

security of data
feature extraction
Anomaly Detection
data analysis
Unsupervised Learning
IP networks
pubcrawl
Human behavior
Metrics
resilience
Resiliency
Correlation
Scalability
Cybersecurity
Training data
advanced persistent threat
APT
Clustering algorithms
pattern clustering
advanced persistent threats
Behaviour Analysis
Cyber Threats Intelligence
heterogeneous log-files
Log-files Analysis
malicious behaviour
Multi-stage threats
multistage threats
pattern extraction

biblio

Sparse Support Vector Machine for Network Behavior Anomaly Detection

Submitted by aekwall on Mon, 12/14/2020 - 12:30pm

computer network security
Data models
Support vector machines
feature extraction
Feature Selection
learning (artificial intelligence)
Resiliency
pubcrawl
composability
optimization
pattern classification
SVM
Training
Anomaly Detection
Predictive Metrics
Training data
adopted training weights
general machine learning approach
NBAD features
network behavior anomaly detection
related weights matching
sparse support vector machine
sparse SVM
support vector machine approach

biblio

XSS Attack Detection With Machine Learning and n-Gram Methods

Submitted by aekwall on Mon, 12/14/2020 - 12:29pm

Cross Site Scripting
Bayes methods
composability
cookies
cross-site scripting
detection script
feature extraction
k-nearest neighbour
KNN
learning (artificial intelligence)
machine learning
machine learning algorithms
malicious script
malicious scripts
N-gram
n-gram method
Naive Bayes
nearest neighbour methods
Predictive Metrics
pubcrawl
Resiliency
security of data
support vector machine
Support vector machines
SVM
Training data
Uniform resource locators
vulnerable
Web sites
website
XSS attack
XSS attack detection
XSS attacks

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Cyber-Physical Systems Virtual Organization

Fostering collaboration among CPS professionals in academia, government, and industry

Training data

DeepGuard: Deep Generative User-behavior Analytics for Ransomware Detection

Cross-domain Anomaly Detection for Power Industrial Control System

Emotion Recognition Based on Facial Expressions Using Convolutional Neural Network (CNN)

White-Hat Worm Launcher Based on Deep Learning in Botnet Defense System

Black Box to White Box: Discover Model Characteristics Based on Strategic Probing

Towards implementing fast and scalable Network Intrusion Detection System using Entropy based Discretization Technique

TIRL: Enriching Actor-Critic RL with non-expert human teachers and a Trust Model

Pattern Extraction for Behaviours of Multi-Stage Threats via Unsupervised Learning

Sparse Support Vector Machine for Network Behavior Anomaly Detection

XSS Attack Detection With Machine Learning and n-Gram Methods