Section
Completed
Onsite
Lecture
Guest Talk on Privacy and Security Issues
About This Event
Title: Privacy and
Security issues in Published or Outsourced Databases
Speaker: Dimitris Sacharidis (Institute of the Mangement for Information Systems - IMIS Greece)
Abstract:
The concept of
k-anonymity has received considerable attention due to
the need of several
organizations to release microdata without
revealing the
identity of individuals. Standard anonymization
techniques assume the
existence of a public database that a malign
person may use to
breach privacy. Our work utilizes such public
knowledge to
construct anonymized databases that offer the same
anonymity guarantees
while having more utility.
In the outsourced
database model, a data owner publishes her database
through a third-party
server; i.e., the server hosts the data and
answers user queries
on behalf of the owner. Since the server may not
be trusted, or may be
compromised, users need a means to verify that
answers received are
both authentic and complete, i.e., that the
returned data have
not been tampered with, and that no qualifying
results have been
omitted. Our work focuses on indexing techniques
that guarantee
authenticity and completeness in both centralized and
distributed settings.
Security issues in Published or Outsourced Databases
Speaker: Dimitris Sacharidis (Institute of the Mangement for Information Systems - IMIS Greece)
Abstract:
The concept of
k-anonymity has received considerable attention due to
the need of several
organizations to release microdata without
revealing the
identity of individuals. Standard anonymization
techniques assume the
existence of a public database that a malign
person may use to
breach privacy. Our work utilizes such public
knowledge to
construct anonymized databases that offer the same
anonymity guarantees
while having more utility.
In the outsourced
database model, a data owner publishes her database
through a third-party
server; i.e., the server hosts the data and
answers user queries
on behalf of the owner. Since the server may not
be trusted, or may be
compromised, users need a means to verify that
answers received are
both authentic and complete, i.e., that the
returned data have
not been tampered with, and that no qualifying
results have been
omitted. Our work focuses on indexing techniques
that guarantee
authenticity and completeness in both centralized and
distributed settings.
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