Efficient Recommendation of De-Identification Policies Using MapReduce

Volume: 5, Issue: 3, Pages: 343 - 354
Published: Sep 1, 2019
Abstract
Many data owners are required to release the data in a variety of real world application, since it is of vital importance to discovery valuable information stay behind the data. However, existing re-identification attacks on the AOL and ADULTS datasets have shown that publish such data directly may cause tremendous threads to the individual privacy. Thus, it is urgent to resolve all kinds of re-identification risks by recommending effective...
Paper Details
Title
Efficient Recommendation of De-Identification Policies Using MapReduce
Published Date
Sep 1, 2019
Volume
5
Issue
3
Pages
343 - 354
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