time series

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

Scalability
Metrics
personalized collaborative recommender systems
pervasiveness
pubcrawl
rating intention
real-world data
recommender system
recommender systems
resilience
Resiliency
Measurement
security of data
spotting anomalies
structure-based property
suspicious co-visitation behavior
suspicious nodes
suspicious ratings
time series
Time series analysis
ubiquitous computing
unified detection framework
Forensics
Anomaly Detection
association rules
Attack detection
co-rating behaviors
co-rating graphs
collaboration
Couplings
Data mining
e-commerce services
electronic commerce
abnormality forensics
forensics metrics including distribution
fundamental vulnerabilities
graph theory
historical ratings
Human behavior
inference
information forensics
malicious attack
malicious attack behaviors
malicious users

biblio

Reliability Analysis of Concurrent Data based on Botnet Modeling

Submitted by grigby1 on Tue, 03/09/2021 - 2:23pm

network modelling
unsolicited e-mail
time series
telecommunication traffic
spam
security risks
security of data
Resiliency
resilience
reliability analysis
Reliability
pubcrawl
pattern clustering
network traffic time series
botnet modeling
multidimensional permutation entropy
Metrics
invasive software
high-privilege systems
Entropy
detection methods
data complex structure analysis
concurrent data
computer network security
composability
clustering variance method
botnets

biblio

Hybrid Deep Neural Networks to Infer State Models of Black-Box Systems

Submitted by aekwall on Tue, 03/09/2021 - 12:04pm

inferred states
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
888 random recent system-level test cases
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
Anomaly Detection
Time measurement
Classification algorithms
learning (artificial intelligence)
Resiliency
pubcrawl
composability
Metrics
neural nets
pattern classification
program testing
testing
Task Analysis
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

biblio

Practical and White-Box Anomaly Detection through Unsupervised and Active Learning

Submitted by grigby1 on Thu, 03/04/2021 - 2:35pm

pubcrawl
white-box anomaly detection
user experience
Unsupervised Learning
Unsupervised Anomaly Detection
Time series analysis
time series
supervised learning
security of data
RRCF algorithm
RRCF
robust random cut forest
Resiliency
resilience
random forests
White Box Security
Neural networks
Monitoring
Metrics
Labeling
KPI anomaly detection framework
key performance indicators
iRRCF
Forestry
composability
Anomaly Detection
active learning
security
white box

biblio

A Network Covert Timing Channel Detection Method Based on Chaos Theory and Threshold Secret Sharing

Submitted by grigby1 on Wed, 02/10/2021 - 12:50pm

resilience
unique channel traits
traditional security policies
time series
Threshold secret sharing
telecommunication traffic
telecommunication channels
stable channel traits
security of data
security concern
secret reconstruction strategy
Scalability
Robustness
Resiliency
channel identifier
pubcrawl
one-dimensional time series
network traffic
network covert timing channel detection method
network covert timing channel
NCTC detection method
inter-packet delay
high-dimensional phase space
covert channels
Compositionality
chaos theory
chaos

biblio

Chaos-based Cryptography for Transmitting Multimedia Data over Public Channels

Submitted by grigby1 on Fri, 01/22/2021 - 1:52pm

internet
Transmitters
time series
telecommunication channels
Receivers
public communication channel
Oscillators
network security
multiple chaotic orbits
multimedia signals
multimedia data
Multimedia communication
Lyapunov-based adaptive technique
Lyapunov methods
chaotic cryptography
Encryption technique
Cryptography
crypto-analysis methods
Communication channels
chaotic nonautonomous Duffing oscillator
chaotic communication
chaos-based cryptography
chaos
bandwidth allocation
adaptive signal processing
8-bit ASCII code
pubcrawl

biblio

Temporally Discounted Differential Privacy for Evolving Datasets on an Infinite Horizon

Submitted by aekwall on Mon, 01/11/2021 - 1:41pm

time series
utility theory
temporally discounted differential privacy
temporal discounting.
smart-meter measurement time-series
privacy-preserving additive noise
evolving datasets
Australian electricity distribution company
Ausgrid
additive noise
privacy loss
Loss measurement
Scalability
differential privacy
smart power grids
privacy
composability
pubcrawl
Human behavior
Resiliency
Time measurement
real-time systems
data privacy

biblio

A Novel Jamming Attacks Detection Approach Based on Machine Learning for Wireless Communication

Submitted by aekwall on Mon, 12/14/2020 - 12:32pm

channel surfing
5G
time series
Transmitters
Wireless communication
random forests
Jamming
wireless network
Forestry
random forest algorithm
wireless channels
detection probability
false alarm probability
jamming attacks
jamming attacks detection
jamming signal detection
millimeter wave bands
Random Fores
smart jammers
pubcrawl
telecommunication security
game theory
machine learning algorithms
Support vector machines
support vector machine
learning (artificial intelligence)
machine learning
Resiliency
Receivers
composability
Vegetation
neural network
Fuzzy logic
probability
telecommunication computing
signal detection
Predictive Metrics

biblio

Anomaly Detection for Power Grid Based on Time Series Model

Submitted by grigby1 on Fri, 12/11/2020 - 2:44pm

security
Power Grid
power grids
Power system protection
Protocols
pubcrawl
resilience
Resiliency
Scalability
power engineering computing
Smart Grids
smart power grids
Time Frequency Analysis
time series
Time series analysis
time series model
Time-frequency Analysis
timing relationship
Fourier transform
Anomaly Detection
anomaly detection model
computer network security
Cyber Attacks
cyber security situation
discrete Fourier transform
Discrete Fourier transforms
efficient anomaly detection methods
advanced behavior attacks
highly periodic network
mainstream security devices
Metrics
network message
original physical isolation
periodic extraction method
periodic overlapping mapping

biblio

Robust Sound Classification for Surveillance using Time Frequency Audio Features

Submitted by grigby1 on Fri, 12/11/2020 - 2:43pm

sound data
robust sound classification
Scalability
security
security alerts
security of data
self-generated dataset
signal based features
signal characteristics
signal classification
sound
Resiliency
Spectrogram
surveillance
Time Frequency Analysis
time frequency audio features
time series
time-based features
Time-frequency Analysis
unusual activity
Videos
learning (artificial intelligence)
ambiguous behaviour
audio events
audio signal processing
auditory classification
convolution
convolution neural network
convolutional neural nets
ESC-50 datasets
feature extraction
Acoustic signal processing
Mel frequency cepstral coefficient
Mel Spectrogram
Metrics
MFCC
Neural networks
outlier
perception
pubcrawl
resilience

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Cyber-Physical Systems Virtual Organization

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

time series

Inference of Suspicious Co-Visitation and Co-Rating Behaviors and Abnormality Forensics for Recommender Systems

Reliability Analysis of Concurrent Data based on Botnet Modeling

Hybrid Deep Neural Networks to Infer State Models of Black-Box Systems

Practical and White-Box Anomaly Detection through Unsupervised and Active Learning

A Network Covert Timing Channel Detection Method Based on Chaos Theory and Threshold Secret Sharing

Chaos-based Cryptography for Transmitting Multimedia Data over Public Channels

Temporally Discounted Differential Privacy for Evolving Datasets on an Infinite Horizon

A Novel Jamming Attacks Detection Approach Based on Machine Learning for Wireless Communication

Anomaly Detection for Power Grid Based on Time Series Model

Robust Sound Classification for Surveillance using Time Frequency Audio Features