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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
Data models
biblio
Secure and Scalable Trust Management Model for IoT P2P Network
Submitted by
aekwall
on Mon, 04/06/2020 - 10:14am
security of data
Internet of Things
data integrity
Trusted Computing
Data models
Resiliency
pubcrawl
component
Peer-to-peer computing
Metrics
blockchain
Reliability
IoT security
Scalability
Human Factors
security issues
Trust management
blockchain-based trust management model
centralized models
DHT
distributed trust management model
fog node approach
Holochain
IoT entities
IoT P2P network
IoT resources
IoT trust management
large-scale trust model
P2P network
peer to peer security
biblio
Membership Inference Attacks Against Adversarially Robust Deep Learning Models
Submitted by
grigby1
on Fri, 04/03/2020 - 12:56pm
deep learning
learning (artificial intelligence)
security of data
Training
Predictive models
security
pubcrawl
Resiliency
data privacy
Data models
privacy
security challenges
neural nets
Metrics
Compositionality
provable security
adversarial defense
adversarial defense methods
adversarial defenses
adversarial training method
adversarially robust deep learning models
empirical membership inference attacks
evasion attacks
membership inference attack
privacy challenges
provable defense
security and privacy
target model
Training data
resilience
biblio
SeqFuzzer: An Industrial Protocol Fuzzing Framework from a Deep Learning Perspective
Submitted by
grigby1
on Fri, 04/03/2020 - 12:43pm
computer architecture
privacy
deep learning
deep learning model
learning (artificial intelligence)
security
pubcrawl
policy-based governance
collaboration
computer network security
Data models
Protocols
composability
Local area networks
industrial network
fuzzing
security vulnerabilities
Policy Based Governance
Control Automation Technology devices
Decoding
deep learning perspective
EtherCAT
Fuzz Testing
fuzzing framework
industrial communication processes
industrial communication protocols
industrial protocol fuzzing framework
Industrial Safety
modern industrial control systems
protocol frame structures
protocol frames
security checks
self learning
SeqFuzzer
stateful protocols
target protocol
vulnerability mining
Compositionality
protocol verification
biblio
Policy-Based De-Identification Test Framework
Submitted by
grigby1
on Fri, 04/03/2020 - 12:33pm
privacy
pubcrawl
Human behavior
Generators
performance evaluation
Scalability
Data models
data privacy
Big Data
Load modeling
Data protection
Privacy Policies
data-centered society
Distributed Information Systems
domain specific language
Domain-Specific Language
General Data Protection Regulation
personal privacy anonymization
policy-based de-identification test framework
privacy models
privacy preserving
privacy protection
pseudonymization
biblio
Securing Big Data in the Age of AI
Submitted by
grigby1
on Fri, 04/03/2020 - 12:03pm
privacy
collaboration
machine learning
Artificial Intelligence
pubcrawl
security
Data models
data privacy
Big Data
Data Security
NoSQL databases
Policy Based Governance
biblio
The Best of Both Worlds: Challenges in Linking Provenance and Explainability in Distributed Machine Learning
Submitted by
aekwall
on Mon, 03/30/2020 - 11:33am
Data models
learning (artificial intelligence)
Resiliency
Human behavior
pubcrawl
composability
Computational modeling
Metrics
machine learning
Distributed databases
data analysis
Entropy
Provenance
distributed system
Decision trees
data provenance
distributed computing
machine learning models
basic transformations
consistent data
data analysis pipeline
data pre-processing steps
data preparation
distributed file system
distributed machine learning
distributed setting
end-to-end explainability
entire data set
explainable machine learning
explainable models
homogeneous data
linking provenance
machine learning experts
single data
biblio
Understanding Data Science Lifecycle Provenance via Graph Segmentation and Summarization
Submitted by
aekwall
on Mon, 03/30/2020 - 11:33am
Data models
Resiliency
Human behavior
pubcrawl
composability
graph theory
Metrics
query processing
Databases
context-free grammars
optimisation
computational complexity
meta data
metadata
Writing
Pipelines
Semantics
Provenance
data science
data handling
approximation theory
Approximation algorithms
boundary criteria
context free language
context-free grammar
data science lifecycle provenance
data science platforms
destination vertices
graph data models
graph query
graph query model
graph segmentation operator
graph summarization operator
high-level graph query operators
model management
provenance ingestion mechanisms
provenance management
PSPACE-complete
query techniques
Skeleton
source vertices
biblio
Genoma: Distributed Provenance as a Service for IoT-based Systems
Submitted by
aekwall
on Mon, 03/30/2020 - 11:33am
IoT
Cloud Computing
Internet of Things
Data models
Resiliency
Human behavior
pubcrawl
composability
Metrics
bioinformatics
Provenance
data provenance
cloud
Substrates
data management
Data processing
data processing substrate
distributed IoT provenance
distributed provenance
edge
Genoma
genomics
IoT-based systems
Production facilities
provenance-as-a-service
biblio
Principles of Physical and Information Model Integration for Cybersecurity Provision to a Nuclear Power Plant
Submitted by
grigby1
on Wed, 03/18/2020 - 11:50am
security of data
risk management
Scalability
Adaptation models
complex technical objects
Computational modeling
computer security
cyber threats
Cybersecurity
cybersecurity problems
cybersecurity provision
cybersecurity risk assessment
Data models
hybrid model
information model integration
information properties
instrumentation and control system
Mathematical model
modelling
nuclear engineering computing
nuclear power plant
nuclear power stations
Numerical models
physical models
simulations
pubcrawl
composability
collaboration
Policy-Governed Secure Collaboration
Metrics
Resiliency
resilience
Human behavior
Science of Security
biblio
Evaluating Scientific Workflow Engines for Data and Compute Intensive Discoveries
Submitted by
aekwall
on Mon, 03/16/2020 - 10:41am
Software
Task Analysis
Data models
pubcrawl
Computational modeling
tools
Analytical models
Engines
resilience
Predictive Metrics
Compositionality
Scientific Computing Security
Converged Workloads
Data Intensive Discoveries
End-to-End Workflows
Scientific Experiments
scientific workflows
Workflow Engines
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