principal component analysis

biblio

Neural Network Model for False Data Detection in Power System State Estimation

Submitted by grigby1 on Mon, 12/30/2019 - 1:21pm

Power systems state estimation
perceptron model
perceptron models
perceptrons
power engineering computing
Power measurement
power system measurement
Power system measurements
power system state estimation
outlier detection scheme
principal component analysis
pubcrawl
resilience
Resiliency
trained network
Training
training sets
Voltage measurement
feature extraction
13-bus IEEE test system
Artificial Neural Networks
composability
correlated data sets
cyber physical systems
Data models
data preprocessing technique
False Data Injection
False Data Detection
historical data
Human behavior
Linear programming
Measurement false data
Multi-layer perceptron
neural network model
Noise measurement

biblio

Enumerating Active IPv6 Hosts for Large-Scale Security Scans via DNSSEC-Signed Reverse Zones

Submitted by grigby1 on Wed, 10/30/2019 - 9:52am

Licenses
ZMap
unintended IPv6 connectivity
sensitive data exposure
Security by Default
security
Scalability
RNA
Revere DNS (rDNS)
Resiliency
resilience
pubcrawl
privacy
principal component analysis
network scanning
Network reconnaissance
computer network security
large-scale security scans
IPv6 hosts
IPv6 address space
IPv6
IPv4 hosts
IP networks
internet-wide scans
Internet-connected devices
Internet of Things devices
Internet of Things
internet
integrated circuits
DNSSEC-signed IPv6 reverse zones
DNSsec
DNS

biblio

Detection Of Shilling Attack In Collaborative Filtering Recommender System By Pca And Data Complexity

Submitted by grigby1 on Tue, 10/15/2019 - 1:40pm

principal component analysis
unsupervised PCA
unsupervised detection method
suspected attack profiles
shilling attacks detection
Shilling attack detection
security of data
Scalability
Resiliency
resilience
recommender systems
recommender system
pubcrawl
authentic profiles
personalized recommendation
PCA
Human Factors
gaussian distribution
feature extraction
data complexity
Correlation
Complexity theory
collaborative filtering recommender system
collaborative filtering
collaboration
CF recommender system

biblio

Understanding Transition and Remanence Noise in HAMR

Submitted by aekwall on Mon, 09/30/2019 - 9:07am

Jitter
Writing
transition noise
spatial splitting
Signal to noise ratio
remanence noise
remanence
pubcrawl
principal components analysis (PCA)
principal components analysis
principal component analysis
media noise
Media
magnetic recording noise
Magnetic Remanence
Heat-assisted magnetic recording (HAMR)
Heat-assisted magnetic recording
grain pitch
GP
Computational modeling
composability
bit length
applied field
cyber physical systems
Internet of Things
Compositionality
Resiliency

biblio

Deep Learning Based Attribute Classification Insider Threat Detection for Data Security

Submitted by aekwall on Wed, 05/08/2019 - 8:49am

long short term memory recurrent neural networks
threat detection recall
security of data
resilience
Recurrent neural networks
recurrent neural nets
pubcrawl
Principal Component Analysis based threat detection methods
principal component analysis
pattern classification
network threat
Metrics
malicious insiders
machine learning
Anomaly Detection
Logic gates
learning (artificial intelligence)
Kernel
insider threat
Human behavior
high detection rate
feature extraction
end-to-end detection framework
deep learning
Data Security
CERT insider threat dataset
attribute classifiers
attribute classification insider threat detection method

biblio

A Neural Network Trojan Detection Method Based on Particle Swarm Optimization

Submitted by grigby1 on Fri, 03/15/2019 - 10:59am

particle swarm optimization
Trojan horses
trojan horse detection
Side Channel Analysis technology
RTL circuits
pubcrawl
PSO NN method
Principal Component Analysis algorithm
principal component analysis
Power demand
power consumption data
power consumption
power aware computing
Artificial Neural Networks
particle swarm optimisation
neural network Trojan detection
neural nets
malicious modifications
invasive software
intelligent neural networks algorithm
Integrated circuit modeling
HSPICE power consumption simulation
hardware Trojan detection
Hardware
Cryptography

biblio

Feature Selection for Machine Learning-Based Early Detection of Distributed Cyber Attacks

Submitted by aekwall on Wed, 02/13/2019 - 11:02am

learning (artificial intelligence)
Support vector machines
support vector machine
Servers
security of data
Scalability
Resiliency
Random Forest
pubcrawl
privacy leakage
principal component analysis
machine learning-based detection methods
machine learning algorithms
machine learning
Attack vectors
Human behavior
Feature Selection
feature extraction
Electronic mail
early detection
distributed cyber attacks
denial of services
DDoS Attacks
data privacy
cyberattack
cyber security community
Command & Control communication
C&C communication

biblio

Analyst Intuition Inspired High Velocity Big Data Analysis Using PCA Ranked Fuzzy K-Means Clustering with Multi-Layer Perceptron (MLP) to Obviate Cyber Security Risk

Submitted by grigby1 on Wed, 11/14/2018 - 12:21pm

pattern classification
learning (artificial intelligence)
log history annotation
malware
malware attacks
manually labelled data
MLP
Monitoring
Multi-layer Perceptron (MLP)
multilayer perceptrons
network datasets
network protocols
network user
neural network classifier multilayer perceptron base
IP networks
pattern clustering
PCA ranked fuzzy k-means clustering
principal component analysis
Principal Component Analysis (PCA)
pubcrawl
resilience
Resiliency
Scalability
scoring system
security
special semisupervise method
statistical data generation
Virus
cyber threats
analyst intuition inspired high velocity big data analysis
Artificial Intelligence
attacker IP addresses characteristics
Big Data
Clustering algorithms
computer networks
computer network security
computer security
cyber-attacks
cyber security
cyber security expert
cyber security log classification
cyber security risk
Analyst Intuition
data analysis
Data mining
efficient security monitoring system
Expectation Regulated
expert system
expert systems
Fuzzy k-means (FKM)
fuzzy set theory
High Velocity
Human behavior
integrated datasets
invasive software

biblio

Protecting vehicular networks privacy in the presence of a single adversarial authority

Submitted by grigby1 on Mon, 06/11/2018 - 2:39pm

Resiliency
vehicular networks privacy protection
vehicular ad hoc networks
vehicular ad hoc network
traffic-simulator based experiments
traffic engineering computing
threshold-based detection
telecommunication security
single insider adversary
single adversarial authority
Security Credential Management System
security
SCMS design
road vehicles
road traffic
central authority
resilience
relabeling
pubcrawl
privacy information leakage
privacy
principal component analysis
network accountability
Metrics
key management
data privacy
Couplings
Conferences
composability
Communication networks

biblio

Bad data detection in PMU measurements using principal component analysis

Submitted by el_wehby on Mon, 05/14/2018 - 3:49pm

bad data detection
Current measurement
Frequency measurement
Monte Carlo methods
Monte Carlo simulation
Noise measurement
Phase measurement
phasor measurement
Phasor measurement units
PMU measurements
power system
principal component analysis
system response
Transmission line measurements
Voltage measurement
1544621

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Cyber-Physical Systems Virtual Organization

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

principal component analysis

Neural Network Model for False Data Detection in Power System State Estimation

Enumerating Active IPv6 Hosts for Large-Scale Security Scans via DNSSEC-Signed Reverse Zones

Detection Of Shilling Attack In Collaborative Filtering Recommender System By Pca And Data Complexity

Understanding Transition and Remanence Noise in HAMR

Deep Learning Based Attribute Classification Insider Threat Detection for Data Security

A Neural Network Trojan Detection Method Based on Particle Swarm Optimization

Feature Selection for Machine Learning-Based Early Detection of Distributed Cyber Attacks

Analyst Intuition Inspired High Velocity Big Data Analysis Using PCA Ranked Fuzzy K-Means Clustering with Multi-Layer Perceptron (MLP) to Obviate Cyber Security Risk

Protecting vehicular networks privacy in the presence of a single adversarial authority

Bad data detection in PMU measurements using principal component analysis