CODASPY

E77758

CODASPY is an academic conference focused on research in data and application security and privacy.

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Statements (51)

Predicate Object
instanceOf academic conference
computer security conference
community academic researchers
industry researchers
practitioners in security and privacy
field application security
computer security
data security
privacy
focusesOn research in application security
research in data security
research in privacy
fullName ACM Conference on Data and Application Security and Privacy
hasAbbreviation CODASPY self-link
hasSubmissionType demos
posters
research papers
short papers
hasTopic access control
anonymization and de-identification
application-layer security
auditing and accountability for data access
blockchain applications for data security
cryptographic mechanisms for data protection
data availability
data confidentiality
data integrity
data leakage detection and prevention
database security
forensics for data and applications
intrusion detection for data-centric systems
machine learning for security and privacy of data
policy languages for security and privacy
privacy in big data
privacy in social networks
privacy-preserving data analysis
regulatory compliance for data protection
secure data sharing
security and privacy in IoT data
security and privacy in healthcare data
security and privacy policies
security in cloud data services
security in mobile applications
security in web applications
threats to data-centric applications
usable security and privacy for data-centric systems
organizedBy ACM
Association for Computing Machinery
reviewProcess peer-reviewed
sponsoredBy ACM SIGSAC
ACM SIGSAC
surface form: ACM Special Interest Group on Security, Audit and Control

Referenced by (3)

Full triples — surface form annotated when it differs from this entity's canonical label.