Interactive anonymization of sensitive data

There has been much recent work on algorithms for limiting disclosure in data publishing. However, these algorithms have not been put to use in any comprehensive, usable toolkit for practicioners. We will demonstrate CAT, the Cornell Anonymization Toolkit, designed for interactive anonymization. CAT has an interface that is easy to use; it guides users through the process of preparing a dataset for publication while limiting disclosure through the identification of records that have high risk under various attacker models. Categories and Subject Descriptors H.2.7 [Database Management]: Database Administration--Security, integrity, and protection General Terms Design, Security Keywords Data anonymization, l-diversity

• Type: Conference
• Year: 2009
• Where: SIGMOD
• Authors: Xiaokui Xiao, Guozhang Wang, Johannes Gehrke
• Keywords: Cornell Anonymization Toolkit, Database, Security Keywords Data, SIGMOD 2009, Various Attacker Models