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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
fraud detection
biblio
A Novel Blockchain-Driven Framework for Deterring Fraud in Supply Chain Finance
Submitted by grigby1 on Fri, 06/30/2023 - 2:35pm
finance
airflow
Agent-based modeling
fraud
supply chain finance
Deterrence
Hyperledger Fabric
fraud detection
Fabrics
pubcrawl
supply chains
Licenses
blockchain
real-time systems
Scalability
Resiliency
resilience
Human behavior
biblio
A StackNet Based Model for Fraud Detection
Submitted by aekwall on Fri, 05/06/2022 - 12:56pm
Credit cards
expandability
Stacked
LightGBM
GradientBoosting
fraud detection
CatBoost
Forestry
information management
Measurement
network architecture
Random Forest
Companies
Compositionality
Resiliency
pubcrawl
Training
biblio
An Automatic Detection and Analysis of the Bitcoin Generator Scam
Submitted by grigby1 on Tue, 03/09/2021 - 2:49pm
financial data processing
Web page
USD
security
search engines
scam instances
scam analysis
Scalability
pubcrawl
internet
Human behavior
generic system
Generators
free bitcoins
fraud detection
automatic detection
Data mining
cyberattack
Cryptography
cryptocurrency
cryptocurrencies
Crawlers
Computer crime
blockchain analysis
blockchain
bitcoin-based scam monitoring systems
bitcoin generator scam
bitcoin addresses
bitcoin
BGS
biblio
Fraud Detection using Machine Learning and Deep Learning
Submitted by aekwall on Mon, 08/24/2020 - 1:37pm
credit card
Europe
Forestry
Credit cards
area under the ROC curve
Australian dataset
autoencoder
benchmark multiple machine learning methods
Boltzmann machines
cost of failure
financial data processing
data mining techniques
Deep belief networks
EU
European dataset
German dataset
k nearest neighbor
Matthews correlation coefficient
restricted boltzmann machine
security checks
pattern classification
Support vector machines
support vector machine
learning (artificial intelligence)
machine learning
Random Forest
Resiliency
pubcrawl
composability
deep learning
Data models
convolutional neural nets
deep learning methods
Data mining
convolutional neural networks
Artificial Neural Networks
belief networks
fraud
fraud detection
biblio
Anomaly Detection with Graph Convolutional Networks for Insider Threat and Fraud Detection
Submitted by grigby1 on Fri, 06/26/2020 - 1:04pm
graph theory
security of data
security
Scalability
Resiliency
real-world insider threat data
pubcrawl
Organizations
Metrics
malicious threat groups
machine learning
learning (artificial intelligence)
Insider Threat Detection
Image edge detection
Anomaly Detection
graph convolutional networks
GCN
fraud detection
fraud
feature extraction
edge detection
Data models
convolutional neural nets
composability
associated threat groups
anomaly detection model
anomaly detection applications
biblio
Complex Networks Monitoring and Security and Fraud Detection for Enterprises
Submitted by aekwall on Mon, 02/10/2020 - 12:07pm
business data processing
complex networks
complex networks monitoring
Compositionality
CoNeSec track
Data mining
data privacy
enterprises
fraud
fraud detection
Human Factors
network log data
pubcrawl
Resiliency
security
Smart Grid Sensors
biblio
Spectrum-based Deep Neural Networks for Fraud Detection
Submitted by grigby1 on Thu, 06/07/2018 - 3:04pm
cyber physical systems
pubcrawl
Resiliency
resilience
Metrics
collaboration
Policy
deep neural networks
Policy-Governed Secure Collaboration
fraud detection
spectrum
neural networks security
policy-based governance
biblio
Look Before You Leap: Improving the Users' Ability to Detect Fraud in Electronic Marketplaces
Submitted by grigby1 on Tue, 05/16/2017 - 12:33pm
context-based attacks
fraud detection
Human behavior
human trust
pubcrawl
reputation systems
trust
visual analytics
