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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
data privacy
biblio
Preserving Location Privacy in Geosocial Applications using Error Based Transformation
Submitted by aekwall on Mon, 04/20/2020 - 10:23am
query processing
privacy models and measurement
server security
Location-based social applications
location transformation
location transformation
inverse transformation
geographic information
geo-social applications
error based transformation approach
ERB privacy mechanism guarantee
distance-preserving coordinate transformations
mobile device
security of data
efficiency
privacy protection
Indexes
Metrics
privacy
location privacy
pubcrawl
mobile computing
security
data privacy
encryption
Servers
biblio
Learning Light-Weight Edge-Deployable Privacy Models
Submitted by aekwall on Mon, 04/20/2020 - 10:23am
anonymization framework
privacy models and measurement
sequential anonymization approach
nonPC devices
model learning
light-weight edge-deployable privacy models
light-weight data anonymization
deployable models
data-driven applications
data schema
anonymized data
data privacy
Internet-of-Things devices
Lattices
Measurement
Entropy
internet
Metrics
Computational modeling
privacy
pubcrawl
Data models
biblio
Learning Light-Weight Edge-Deployable Privacy Models
Submitted by aekwall on Mon, 04/20/2020 - 10:23am
anonymization framework
privacy models and measurement
sequential anonymization approach
nonPC devices
model learning
light-weight edge-deployable privacy models
light-weight data anonymization
deployable models
data-driven applications
data schema
anonymized data
data privacy
Internet-of-Things devices
Lattices
Measurement
Entropy
internet
Metrics
Computational modeling
privacy
pubcrawl
Data models
biblio
Deriving Privacy Settings for Location Sharing: Are Context Factors Always the Best Choice?
Submitted by aekwall on Mon, 04/20/2020 - 10:23am
privacy models and measurement
user modeling
Urban areas
text analysis
standards
social networks
social networking (online)
Social network services
pubcrawl
privacy settings
Adaptation
privacy
Metrics
machine learning
location sharing
location based services
fine-grained disclosement policy
data privacy
Current measurement
biblio
Deriving Privacy Settings for Location Sharing: Are Context Factors Always the Best Choice?
Submitted by aekwall on Mon, 04/20/2020 - 10:23am
privacy models and measurement
user modeling
Urban areas
text analysis
standards
social networks
social networking (online)
Social network services
pubcrawl
privacy settings
Adaptation
privacy
Metrics
machine learning
location sharing
location based services
fine-grained disclosement policy
data privacy
Current measurement
biblio
Tracking location privacy leakage of mobile ad networks at scale
Submitted by aekwall on Mon, 04/20/2020 - 10:23am
extensive threat measurements
privacy models and measurement
targeted ad deliveries
privacy leakage threats
potential privacy leakage
online advertising ecosystem
mobile ads
mobile ad networks
mobile ad ecosystem
mobile ad businesses privacy leakage behaviors
massive data collection
location-based mobile advertising services
large-scale measurement study
security of data
advertising data processing
advertising
adaptive location obfuscation mechanism
location data
Ecosystems
Metrics
privacy
Google
pubcrawl
mobile computing
Adaptation models
data privacy
biblio
Tracking location privacy leakage of mobile ad networks at scale
Submitted by aekwall on Mon, 04/20/2020 - 10:23am
extensive threat measurements
privacy models and measurement
targeted ad deliveries
privacy leakage threats
potential privacy leakage
online advertising ecosystem
mobile ads
mobile ad networks
mobile ad ecosystem
mobile ad businesses privacy leakage behaviors
massive data collection
location-based mobile advertising services
large-scale measurement study
security of data
advertising data processing
advertising
adaptive location obfuscation mechanism
location data
Ecosystems
Metrics
privacy
Google
pubcrawl
mobile computing
Adaptation models
data privacy
biblio
Measuring data privacy preserving and machine learning
Submitted by aekwall on Mon, 04/20/2020 - 10:23am
Organizations
Software
sensitive data
pubcrawl
Privacy-preserving
privacy violations
privacy preservation metric
Privacy Preferences
privacy models and measurement
privacy measurement
privacy levels
privacy
Computational modeling
Metrics
Measurement
machine learning techniques
machine learning models
machine learning
learning (artificial intelligence)
data publishing
data publisher
data privacy-preserving
data privacy
data owners
biblio
Analyzing the Browser Security Warnings on HTTPS Errors
Submitted by grigby1 on Fri, 04/17/2020 - 10:45am
Error analysis
Resistance
browser behaviors
browser defects
browser security warnings
certificate verification
certification
common HTTPS errors
cryptographic algorithm
Compositionality
HPKP
HSTS
name validation
Phase change materials
secure connections
secure Web applications
valid certificate chain
Web Browser Security
internet
pubcrawl
Human behavior
Human Factors
resilience
Resiliency
data confidentiality
telecommunication security
data privacy
Cryptography
composability
encoding
programming
online front-ends
error correction codes
Metrics
Reliability
biblio
The Creation Process of a Secure and Private Mobile Web Browser with no Ads and no Popups
Submitted by grigby1 on Fri, 04/17/2020 - 10:44am
Metrics
Web Browser Security
World Wide Web
Web sites
secure mode
private mode
mobile Web browser
Mobile Applications
hypermedia markup languages
HTML5 Web page
creation process
Browsers
Compositionality
security of data
online front-ends
mobile computing
composability
web services
internet
data privacy
Resiliency
resilience
Human Factors
Human behavior
pubcrawl
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