Sanitization models and their limitations
NSPW '06 Proceedings of the 2006 workshop on New security paradigms
Relationships and data sanitization: a study in scarlet
Proceedings of the 2010 workshop on New security paradigms
Explicit authentication response considered harmful
Proceedings of the 2013 workshop on New security paradigms workshop
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The problem of removing sensitive information from data before it is released publicly, or turned over to less trusted analysts, underlies much of the unwillingness to share data. The solution is to sanitize, or deidentify, parts of the data. When dealing with network addresses, the set of available addresses is finite. This limits some aspects of the sanitization. We analyze this problem in detail, and suggest approaches to ameliorate it.