principal component analysis

biblio

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

Submitted by grigby1 on Tue, 02/23/2021 - 1:57pm

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

Optimal Image Watermark Technique Using Singular Value Decomposition with PCA

Submitted by aekwall on Mon, 02/15/2021 - 3:43pm

principal component analysis
pubcrawl
Metrics
PCA
data compression
Image coding
image watermarking
Watermarking
cyber physical systems
Color
Compositionality
Matrix decomposition
Matrix converters
discrete wavelet transforms
singular value decomposition
banknote authentication
discrete wavelet transformation-singular value decomposition approach
image compression
intellectual property right
optimum digital image watermark technique
peak signal-to-noise ratio
principle component analysis
tracing copyright infringements
wavelet transformation
decomposition

biblio

Using Singular Value Decomposition to Reduce Dimensionality of Initial Data Set

Submitted by aekwall on Mon, 02/15/2021 - 3:43pm

pubcrawl
Metrics
data analysis
cyber physical systems
principal component analysis
Compositionality
Matrix decomposition
Symmetric matrices
Eigenvalues and eigenfunctions
Matrix converters
singular value decomposition
initial data set
left eigenvectors
matrix rank
reduce dimensionality
right eigenvectors
singular value matrix
SVD
decomposition

biblio

Image Processing Technique for Smart Home Security Based On the Principal Component Analysis (PCA) Methods

Submitted by aekwall on Mon, 01/25/2021 - 11:51am

security
principal component analysis
Resiliency
Human behavior
pubcrawl
composability
Metrics
Databases
PCA
microcontrollers
security system
Smart homes
home automation
actuators
face recognition
Webcams
actuator security
Face detection
smart home security
buzzer
image processing technique
OpenCV
Principal Component Analysis method
Python software
Raspberry Pi
Raspberry pi 3 microcontroller
solenoid door lock actuator
test data
webcam camera

biblio

A Study of Big Data Security on a Partitional Clustering Algorithm with Perturbation Technique

Submitted by grigby1 on Mon, 12/28/2020 - 11:40am

Accuracy
Big Data
big data privacy
big data security
Clustering algorithms
Clustering Tme
Conferences
data privacy
Distributed databases
execution time
F-Socre Measure
Hadoop distributed file system
HDFS
Human behavior
Metrics
parallel processing
partitional clustering algorithm
Partitioning algorithms
pattern clustering
PCA
Perturbation methods
perturbation technique
Precision
principal component analysis
privacy preserving
pubcrawl
resilience
Resiliency
Scalability
security
security of data

biblio

Efficient Network Intrusion Detection Using PCA-Based Dimensionality Reduction of Features

Submitted by grigby1 on Tue, 12/01/2020 - 12:47pm

Bayes methods
Bayesian network
belief networks
binary classification
CICIDS2017 network intrusion dataset
class distribution parameters
composability
detection rate
dimensionality reduction
feature dimensionality reduction approach
feature extraction
high-dimensional features
IDS
imbalanced class distributions
imbalanced data
imbalanced distribution
intrusion detection system
IP networks
learning (artificial intelligence)
low-dimensional features
machine learning
Measurement
minority class instances
multiclass classification show
multiclass combined performance metric
network intrusion detection system
network traffic
PCA
PCA-based dimensionality reduction
principal component analysis
pubcrawl
resilience
Resiliency
security of data
Support vector machines

biblio

Intrusion Detection Method of Industrial Control System Based on RIPCA-OCSVM

Submitted by grigby1 on Fri, 10/16/2020 - 10:32am

Anomaly Detection
anomaly detection model
anomaly intrusion detection algorithm
feature extraction
ICs
industrial control
industrial control system
Industrial Control Systems
industrial data sets
integrated circuits
Intrusion Detection
learning (artificial intelligence)
OCSVM
one-class support vector machine
outlier
particle swarm optimisation
pattern classification
principal component analysis
Protocols
pubcrawl
resilience
Resiliency
RIPCA
RIPCA algorithm
RIPCA-OCSVM
Robust Incremental Principal Component Analysis
Scalability
security of data
single classification problem
Support vector machines

biblio

Person Identification from Visual Aesthetics Using Gene Expression Programming

Submitted by aekwall on Mon, 10/12/2020 - 10:46am

programming
feature extraction
Human behavior
pubcrawl
social networking (online)
pattern classification
Cybersecurity
trees (mathematics)
human computer interaction
principal component analysis
biometrics (access control)
visualization
Pattern recognition
Head
Behavioral biometrics
aesthetic feature dimensionality reduction
aesthetics
behavioral biometric
discriminatory features
feature recombination
Flickr users
Gene expression
gene expression programming
Genetics
online human interactions
person identification
personal activities
physical traits
professional activities
tree-based genetic approach
users aesthetic preferences
visual aesthetic
Human Behavior and Cybersecurity

biblio

EagleEye: A Novel Visual Anomaly Detection Method

Submitted by aekwall on Mon, 10/12/2020 - 10:44am

Intrusion Detection
security of data
Linux
pubcrawl
Mathematical model
Data visualization
principal component analysis
data visualisation
Three-dimensional displays
Two dimensional displays
abnormal behaviors
normal behaviors
Human behavior
Anomaly Visualization
Australian Defence Force Academy Linux Dataset
data depth
dimensional reduction
dimensionality reduction
EagleEye view
EagleEyes efficiency
human eyes
modified t-SNE
system call
System Call Trace
two-dimensional space
visual anomaly detection method
Human Behavior and Cybersecurity

biblio

SCMiner: Localizing System-Level Concurrency Faults from Large System Call Traces

Submitted by grigby1 on Tue, 10/06/2020 - 1:01pm

composability
Computer bugs
Concurrency
concurrency (computers)
Concurrency Failures
Concurrent computing
CPS
cyber physical systems
Data mining
debugging
default system audit tools
event handlers
failure-inducing system call sequences
fault diagnosis
fault localization
file content
Instruments
interleaving schedule
localizing system-level concurrency faults
Metrics
Multi Process Applications
multiple failing executions
multiple processes
practical online bug diagnosis tool
principal component analysis
Production
production system
program debugging
program diagnostics
program testing
pubcrawl
resilience
Resiliency
scheduling
SCMiner
security
security of data
statistical analysis
statistical anomaly detection techniques
system call traces
System Level
system-level concurrency fault
tools

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Cyber-Physical Systems Virtual Organization

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

principal component analysis

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

Optimal Image Watermark Technique Using Singular Value Decomposition with PCA

Using Singular Value Decomposition to Reduce Dimensionality of Initial Data Set

Image Processing Technique for Smart Home Security Based On the Principal Component Analysis (PCA) Methods

A Study of Big Data Security on a Partitional Clustering Algorithm with Perturbation Technique

Efficient Network Intrusion Detection Using PCA-Based Dimensionality Reduction of Features

Intrusion Detection Method of Industrial Control System Based on RIPCA-OCSVM

Person Identification from Visual Aesthetics Using Gene Expression Programming

EagleEye: A Novel Visual Anomaly Detection Method

SCMiner: Localizing System-Level Concurrency Faults from Large System Call Traces