Author
M. Atallah, E. Bertino, A. Elmagarmid, M. Ibrahim, V. Verykios
Abstract
Data products (macrodata or tabular data and micro-data
or raw data records), are designed to inform public or
business policy, and research or public information. Securing these products against unauthorized accesses
has been a long-term goal of the database security research community
and the government statistical agencies. Solutions
to this problem require combining several techniques and
mechanisms. Recent advances in data mining and machine
learning algorithms have, however, increased the security
risks one may incur when releasing data for mining from
outside parties. Issues related to data mining and security
have been recognized and investigated only recently.
