principal component analysis

biblio

EagleEye: A Novel Visual Anomaly Detection Method

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

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

biblio

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

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

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

biblio

Decision Fusion Based on Joint Low Rank and Sparse Component for Hyperspectral Image Classification

Submitted by grigby1 on Fri, 07/03/2020 - 3:54pm

Hyperspectral imaging
SVM classifier
Support vector machines
Sparse matrices
Sparse and low rank matrix decomposition
rank component
pubcrawl
principal component analysis
pattern classification
Metrics
Matrix decomposition
low rank matrix decomposition
image fusion
Compositionality
hyperspectral imagery
hyperspectral image classification
hyperspectral data
feature extraction
discriminative information
DFJLRS
decomposition
decision fusion based on joint low rank and sparse component method
decision fusion
data structures
cyber physical systems

biblio

Indexing in k-Nearest Neighbor Graph by Hash-Based Hill-Climbing

Submitted by grigby1 on Fri, 05/22/2020 - 1:25pm

file organisation
nearest neighbor search
vector quantization
Upper bound
SIFT1M datasets
query assignment process
nearest neighbor graph
k-nearest neighbor graph
Inverted index
indexing
hill-climbing
hashing-based seed generation
hashing
hash-based hill-climbing
GIST1M datasets
pubcrawl
Euclidean distance
Binary codes
approximation theory
approximate nearest neighbor search
query processing
Clustering algorithms
principal component analysis
graph theory
Acceleration
search problems
nearest neighbour methods
Measurement
Metrics
Indexes

biblio

Generalized Reconstruction-Based Contribution for Multiple Faults Diagnosis with Bayesian Decision

Submitted by aekwall on Mon, 05/18/2020 - 9:48am

belief networks
smearing effect
multiple faults diagnosis
multiple fault diagnosis
Multi-dimensional reconstruction based contribution
industrial process
generalized reconstruction-based contribution
data-driven fault diagnosis method
bayesian decision
process monitoring
fault detection
Covariance matrices
fault diagnosis
Monitoring
numerical simulation
numerical analysis
Human Factors
principal component analysis
Indexes
cyber physical systems
PCA
Metrics
pubcrawl
Resiliency
Bayes methods

biblio

Multiple Fault Diagnosis Methods Based on Multilevel Multi-Granularity PCA

Submitted by aekwall on Mon, 05/18/2020 - 9:47am

multilevel multigranularity PCA
traditional PCA fault diagnosis
Resiliency
pubcrawl
production engineering computing
process monitoring
process fault diagnosis
principal component analysis
multivariate statistical analysis
multiple process variables
multiple fault diagnosis methods
multiple fault diagnosis
Correlation
multi-level
multi-granularity
Metrics
linear correlation
Human Factors
fault diagnosis
fault detection
Data processing
Data models
cyber physical systems
Covariance matrices

biblio

Node Identification in Wireless Network Based on Convolutional Neural Network

Submitted by grigby1 on Fri, 05/08/2020 - 2:01pm

wireless network
Neural Network Security
stochastic gradient descent method
softmax model
principal component analysis
node identification
local feature extraction
convolutional neural networks
convolutional neural network
Ad-Hoc Network
gradient methods
wireless networks
computational complexity
Metrics
learning (artificial intelligence)
Ad hoc networks
deep learning
wireless sensor networks
Resiliency
resilience
policy-based governance
pubcrawl
convolutional neural nets
convolution
feature extraction
collaboration
Training

biblio

Restricting Switching Activity Using Logic Locking to Improve Power Analysis-Based Trojan Detection

Submitted by grigby1 on Wed, 02/26/2020 - 3:38pm

pubcrawl
logic locking method
malicious circuits
million-gate circuits
outsourcing
PCA-based HT detection methods
power analysis-based Trojan detection
power consumption
power consumption analysis
Power demand
principal component analysis
Process Variations
logic locking
resilience
security
semiconductor companies
small sub-circuit collection
supply chain security
Switches
system-on-chip
trojan horse detection
Trojan horses
untrustworthy fabs
hardware Trojan detection
policy-based governance
composability
IP piracy
circuit block extraction
circuit power
cyber physical systems
design for hardware trust
fabrication foundries
gate level
Hardware
Hardware Security
Resiliency
hardware Trojan threat
HT activity
HT power
HT-infected circuits
industrial property
integrated circuit layout
intellectual properties
invasive software
IPS
Logic gates

biblio

A New Information Extractor for Profiled DPA and Implementation of High Order Masking Circuit

Submitted by aekwall on Mon, 02/10/2020 - 10:44am

extracting information
Microelectronics Security
time reduction
space reduction
side channel attack
security circuit implementation
profiled stage
profiled DPA
new information extractor
machine learning method
information retrieval
high order masking scheme
high order masking circuit
high order masking
Cryptography
explained local variance
ELV
CHES 2015
Predictive Metrics
computer science
principal component analysis
microsoft windows
Data mining
composability
pubcrawl
Resiliency
learning (artificial intelligence)
Hardware

biblio

Feature extraction using Deep Learning for Intrusion Detection System

Submitted by aekwall on Mon, 01/20/2020 - 10:56am

intrusion detection system
Web system
smart intrusion detection system
security of data
Resiliency
pubcrawl
principal component analysis
machine learning research
learning models
learning (artificial intelligence)
Intrusion Detection Systems
Compositionality
Intrusion Detection
fully trainable system
feature extraction
deep learning system
deep learning
Data mining
computational intelligence
composability
Classification algorithms
Cryptography

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Cyber-Physical Systems Virtual Organization

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

principal component analysis

EagleEye: A Novel Visual Anomaly Detection Method

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

Decision Fusion Based on Joint Low Rank and Sparse Component for Hyperspectral Image Classification

Indexing in k-Nearest Neighbor Graph by Hash-Based Hill-Climbing

Generalized Reconstruction-Based Contribution for Multiple Faults Diagnosis with Bayesian Decision

Multiple Fault Diagnosis Methods Based on Multilevel Multi-Granularity PCA

Node Identification in Wireless Network Based on Convolutional Neural Network

Restricting Switching Activity Using Logic Locking to Improve Power Analysis-Based Trojan Detection

A New Information Extractor for Profiled DPA and Implementation of High Order Masking Circuit

Feature extraction using Deep Learning for Intrusion Detection System