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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
Time series analysis
biblio
Inference of Suspicious Co-Visitation and Co-Rating Behaviors and Abnormality Forensics for Recommender Systems
Submitted by grigby1 on Thu, 04/08/2021 - 5:10pm
security of data
collaboration
Anomaly Detection
Data mining
time series
pubcrawl
Human behavior
Metrics
resilience
Resiliency
malicious users
Scalability
Attack detection
Measurement
Forensics
Couplings
graph theory
Time series analysis
recommender systems
information forensics
association rules
ubiquitous computing
recommender system
electronic commerce
malicious attack
abnormality forensics
co-rating behaviors
co-rating graphs
e-commerce services
forensics metrics including distribution
fundamental vulnerabilities
historical ratings
inference
malicious attack behaviors
personalized collaborative recommender systems
pervasiveness
rating intention
real-world data
spotting anomalies
structure-based property
suspicious co-visitation behavior
suspicious nodes
suspicious ratings
unified detection framework
biblio
Hybrid Deep Neural Networks to Infer State Models of Black-Box Systems
Submitted by aekwall on Tue, 03/09/2021 - 12:04pm
Task Analysis
Time measurement
Classification algorithms
learning (artificial intelligence)
Resiliency
pubcrawl
composability
Metrics
neural nets
pattern classification
program testing
testing
Anomaly Detection
software engineering
black box encryption
aerospace computing
deep learning
Instruments
inference mechanisms
time series
convolutional neural network
Time series analysis
recurrent neural network
convolutional layers
888 random recent system-level test cases
automated software engineering tasks
Black-box Model Inference
black-box systems
black-box techniques
black-box third-party libraries
C code
detection techniques
entire source code
existing dynamic model inference techniques
hybrid deep neural network
infer state models
inferred states
inferring behavior model
program comprehension
recurrent layers
run-time traces
running software system
Specification Mining
state change points
state classification algorithm
traditional time series change
UAV auto-pilot solution
white-box
biblio
Practical and White-Box Anomaly Detection through Unsupervised and Active Learning
Submitted by grigby1 on Thu, 03/04/2021 - 2:35pm
White Box Security
white box
security
active learning
Anomaly Detection
composability
Forestry
iRRCF
key performance indicators
KPI anomaly detection framework
Labeling
Metrics
Monitoring
Neural networks
pubcrawl
random forests
resilience
Resiliency
robust random cut forest
RRCF
RRCF algorithm
security of data
supervised learning
time series
Time series analysis
Unsupervised Anomaly Detection
Unsupervised Learning
user experience
white-box anomaly detection
biblio
Trustworthiness in Sensor Networks A Reputation-Based Method for Weather Stations
Submitted by aekwall on Mon, 12/21/2020 - 1:35pm
IoT
security of data
data integrity
Trusted Computing
pubcrawl
composability
Peer-to-peer computing
Correlation
Data mining
trustworthiness
Indexes
sensor fusion
Temperature measurement
Gaussian processes
sensor networks
reputation
Time series analysis
Autonomous Sensors
correlation theory
Gaussian overlap
geophysics computing
Meteorology
Meteorology Data
Pearson correlation
peer-data trust
reputation indicators
reputation-based method
self-data trust
soft-security feature
trustworthiness approach
weather stations
biblio
Anomaly Detection for Power Grid Based on Time Series Model
Submitted by grigby1 on Fri, 12/11/2020 - 2:44pm
advanced behavior attacks
Anomaly Detection
anomaly detection model
computer network security
Cyber Attacks
cyber security situation
discrete Fourier transform
Discrete Fourier transforms
efficient anomaly detection methods
Fourier transform
highly periodic network
mainstream security devices
Metrics
network message
original physical isolation
periodic extraction method
periodic overlapping mapping
power engineering computing
Power Grid
power grids
Power system protection
Protocols
pubcrawl
resilience
Resiliency
Scalability
security
Smart Grids
smart power grids
Time Frequency Analysis
time series
Time series analysis
time series model
Time-frequency Analysis
timing relationship
biblio
Online Anomaly Detection of Time Series at Scale
Submitted by aekwall on Mon, 07/06/2020 - 10:19am
security of data
Monitoring
Cloud Computing
real-time systems
learning (artificial intelligence)
Resiliency
pubcrawl
standards
Business
Anomaly Detection
Data mining
business operations
microsoft windows
time series
Time series analysis
automatic network-stream monitoring
cloud computing environments
cloud platforms
cyber breaches
cyber situation awareness
data analysis techniques
financial stability
network stream monitoring
non-parametric methods
nonparametric techniques
online anomaly detection
parametric methods
real-time requirements
reputation damage
stock values
Streaming platforms
targeted corporations
time-series analysis methods
time-series anomaly detection
time-series data analysis
Damage Assessment
biblio
Nearest Neighbor Subsequence Search in Time Series Data
Submitted by grigby1 on Fri, 05/22/2020 - 2:28pm
Data mining
time series
pubcrawl
Indexes
Metrics
Measurement
nearest neighbour methods
search problems
Meteorology
graph theory
Time series analysis
query processing
nearest neighbor search
Agriculture
augmented relationship graph model
Bridges
horizontal pruning
query processing strategy
range interval diversity properties
sensor data
similarity search support
similarity vectors
Subsequence Mining
subsequence similarity match problem
Temperature sensors
temporal sequence data
Time Series Data
time series datasets
time series nearest neighbor subsequence search
TINN graph
TINN model
TINN nodes
biblio
Neural Network Model for Information Security Incident Forecasting
Submitted by grigby1 on Fri, 05/08/2020 - 2:54pm
artificial neural network
Artificial Neural Networks
Biological neural networks
collaboration
forecasting
information security
information security incident
information security incidents forecasting
intelligent forecasting system
Metrics
neural nets
neural network application
neural network model
Neural Network Security
neural network structure
policy-based governance
Predictive models
pubcrawl
resilience
Resiliency
security of data
time series
Time series analysis
Time Series Prediction
biblio
Using GRU neural network for cyber-attack detection in automated process control systems
Submitted by grigby1 on Fri, 05/08/2020 - 2:44pm
security of data
Training
security
Anomaly Detection
Neural networks
time series
pubcrawl
policy-based governance
collaboration
control engineering computing
water treatment
process control
production engineering computing
deep learning
neural nets
Metrics
forecasting
Time series analysis
APCS
automated process control systems
cyber-attack detection
end system devices
forecasting multivariate time series
forecasting theory
GRU-neural network training
information security breaches
multivariate time series
operating parameters
Neural Network Security
biblio
Pattern Discovery in Intrusion Chains and Adversarial Movement
Submitted by grigby1 on Mon, 02/17/2020 - 5:16pm
adversarial movement
composability
Computer crime
cyber security
cybercrimes
Cybersecurity
Data mining
data-driven analysis
Decision Making
intrusion chains
intrusion stages
Metrics
organisational aspects
pattern discovery
pubcrawl
resilience
Resiliency
situational awareness
social networking (online)
social networks
time series
Time series analysis
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