A Survey on Privacy Preservation in Databases

PhD Qualifying Examination


Title: "A Survey on Privacy Preservation in Databases"

Miss Yu PENG


Abstract:

Privacy Preservation is a long history work in database area. In this
paper, we discuss privacy issues in two subareas in databases: privacy
preservation in data publishing and privacy preservation in query
auditing.

Government, hospitals and companies have to publish data which contains
individual sensitive information to the public. Privacy preservation in
data publishing aims at designing methods to prevent attackers from
breaching individual privacy from published data. Generalization and
suppression, Anatomy and Perturbation are three main methods to implement
various privacy preservation models in the literature. In this survey, we
review most of proposed models and describe several representative models
in detail to show the development of privacy preservation methods. A few
potential problems are proposed as our future work.

Instead of publishing data to the public, some organizations protect the
sensitive information in the hidden databases where open interfaces are
provided to the public for reasonable queries. Privacy preservation in
query auditing is to prevent attackers from breaching individual privacy
through queries. We primarily discuss the examining mechanisms of query
auditors in both off-line and online scenarios. Although existing works
can provide strong privacy protection, they also bring loss of utility of
the queries due to strict assumptions. A few future directions are
proposed at the end of the discussion.


Date:     		Tuesday, 15 December 2009

Time:                   2:00pm-4:00pm

Venue:                  Room 3311
 			lifts 17/18

Committee Members:      Dr. Raymond Wong (Supervisor)
 			Prof. Frederick Lochovsky (Chairperson)
 			Dr. Lei Chen
 			Prof. Dik-Lun Lee


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