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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
Data mining
biblio
AutoAttacker: A reinforcement learning approach for black-box adversarial attacks
Submitted by
grigby1
on Fri, 09/04/2020 - 4:10pm
Cryptography
pubcrawl
composability
Metrics
Resiliency
resilience
pattern classification
Data mining
learning (artificial intelligence)
machine learning model
adversarial example discovery
adversarial-machine-learning
AutoAttacker
black-box adversarial attacks
black-box model
black-box-attack
classifier attack
perturbed inputs
Reinforcement learning
reinforcement-learning
white-box access
Black Box Security
biblio
Nash Equilibrium of Multiple, Non-Uniform Bitcoin Block Withholding Attackers
Submitted by
grigby1
on Fri, 09/04/2020 - 3:59pm
Scalability
blockchain
Hardware
pubcrawl
Human behavior
Data mining
cryptocurrencies
Peer-to-peer computing
game theory
Distributed databases
cryptocurrency
bitcoin
profitability
bitcoin security
Bitcoin-like systems
blockchain distributed databases
BWH attack
cryptocurrency miners
in-depth profit analysis
mathematical analysis
MATLAB
Miner's Dilemma
Nash Equilibrium
Nash equilibrium conditions
nonuniform Bitcoin block withholding attackers
nonuniform Bitcoin mining pools
seemingly malicious behavior
biblio
Forensic Analysis of Bitcoin Transactions
Submitted by
grigby1
on Fri, 09/04/2020 - 3:58pm
data privacy
Scalability
Forensics
computer science
pubcrawl
Human behavior
Data mining
cryptocurrencies
visualization
pattern matching
bitcoin
financial data processing
bitcoin security
bitcoin transaction data
bitcoin transaction net
Bitcoin transactions
FABT
Firing
forensic analysis
forensic investigation
Petri nets
suspicious bitcoin addresses
transaction patterns
transaction processing
biblio
Targeted Addresses Identification for Bitcoin with Network Representation Learning
Submitted by
grigby1
on Fri, 09/04/2020 - 3:58pm
security of data
Scalability
feature extraction
pubcrawl
Human behavior
pattern classification
Data mining
learning (artificial intelligence)
cryptocurrencies
drugs
bitcoin
bitcoin security
addresses identification algorithms
annotated data
de-anonymity approach
Decision trees
fault tolerance
illegal transactions
imbalanced multi-classification
network representation learning
security risk
transaction address
transaction addresses
biblio
Identification of State Registers of FSM Through Full Scan by Data Analytics
Submitted by
grigby1
on Fri, 08/28/2020 - 3:55pm
logic design
data analysis
Data mining
pubcrawl
Resiliency
industrial property
Scalability
Big Data
Decision trees
Registers
Data protection
finite state machines
resilience
Silicon
regression analysis
electronic engineering computing
Intellectual Property Protection
Big Data Analytics
Decision Tree
downstream design
finite-state machine
FSM design
FSM state registers
OpenCores
Physical design
state register identification
state transitions
big data security metrics
biblio
A Comparison of Performance Metrics with Severely Imbalanced Network Security Big Data
Submitted by
grigby1
on Fri, 08/28/2020 - 3:53pm
learning (artificial intelligence)
Training
Predictive models
machine learning
data analysis
Data mining
pubcrawl
Resiliency
computer network security
Radio frequency
Scalability
Big Data
pattern classification
area under the receiver operating characteristic curve
Measurement
resilience
Big Data Analytics
apache spark
Apache Spark framework
Cluster Computing
Geometric Mean
imbalanced data
majority class
minority classes
Performance Metrics
Precision-Recall Curve
sampling
sampling distribution ratio
sampling methods
severe class imbalance
severely imbalanced network security big data
Sparks
testing dataset roles
big data security metrics
biblio
Fraud Detection using Machine Learning and Deep Learning
Submitted by
aekwall
on Mon, 08/24/2020 - 1:37pm
Data models
Support vector machines
support vector machine
learning (artificial intelligence)
machine learning
Random Forest
Resiliency
pubcrawl
composability
deep learning
pattern classification
convolutional neural nets
deep learning methods
Data mining
convolutional neural networks
Artificial Neural Networks
belief networks
fraud
fraud detection
financial data processing
Europe
Forestry
Credit cards
area under the ROC curve
Australian dataset
autoencoder
benchmark multiple machine learning methods
Boltzmann machines
cost of failure
credit card
data mining techniques
Deep belief networks
EU
European dataset
German dataset
k nearest neighbor
Matthews correlation coefficient
restricted boltzmann machine
security checks
biblio
Detecting DoS Attack in Smart Home IoT Devices Using a Graph-Based Approach
Submitted by
aekwall
on Mon, 08/17/2020 - 11:18am
computer network security
IP networks
Internet of Things
real-time systems
learning (artificial intelligence)
Resiliency
pubcrawl
composability
graph theory
cyber-attacks
Anomaly Detection
Data mining
Intrusion Detection
IoT security
Smart homes
Smart Home
Predictive Metrics
DoS attack
attack graphs
attack signatures
current security solutions
denial-of-service attacks
DoS Attack Detection
GODIT
graph data
graph mining
graph-based outlier detection in Internet of Things
graph-stream anomaly detection approaches
IoT-equipped smart home show
machine learning approaches
packet inspection
real-time graph stream
smart home IoT devices
smart home IoT traffic
biblio
Intrusion Detection Using Deep Learning and Statistical Data Analysis
Submitted by
aekwall
on Mon, 08/10/2020 - 10:37am
Intrusion Detection
computer network security
Classification algorithms
Data models
network security
feature extraction
learning (artificial intelligence)
Resiliency
pubcrawl
policy-based governance
machine learning
neural nets
pattern classification
Mathematical model
data analysis
Data mining
statistical analysis
computer networks
Artificial Neural Networks
cyber physical systems
data classification
deep learning
artificial neural network
deep learning algorithm
binary classification model
KDD cup 99 datasets
statistical data analysis
biblio
A New Technique for Detecting Android App Clones Using Implicit Intent and Method Information
Submitted by
aekwall
on Mon, 08/10/2020 - 10:32am
Scalability
encryption
malware
invasive software
mobile computing
feature extraction
Resiliency
Human behavior
pubcrawl
tools
Data mining
Android (operating system)
reverse engineering
Android ecosystem
Metrics
Code Obfuscation
Andorid app
Android app clones detection
class method
clone detection
Cloning
code obfuscation techniques
implicit intents
intent
malicious codes
method information
online markets
repackaged apps
android encryption
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