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

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

Reliability Analysis of Concurrent Data based on Botnet Modeling

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

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

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

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

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

biblio

Chaos-based Cryptography for Transmitting Multimedia Data over Public Channels

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

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

biblio

Temporally Discounted Differential Privacy for Evolving Datasets on an Infinite Horizon

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

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

biblio

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

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

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

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

Robust Sound Classification for Surveillance using Time Frequency Audio Features

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

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

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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