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DTSTAMP:20260519T190236Z
DESCRIPTION:Click for Latest Location Information: http://edw2020chicago.da
 taversity.net/sessionPop.cfm?confid=143&proposalid=12333\nResearch shows th
 at traditional de-identification of data is not working as expected. C
 urrent research shows that a data set with 15 demographic attributes can ma
 ke 99.98% of the state of Massachusetts unique. In smaller areas it is,&nbs
 p;of course, much less. Examples of re-identified data include Ne
 tflix in 2008 and data leaked to the public, as well as home addresses
  of New York taxi drivers from an anonymous data set of individual trips in
  the city. This presentation will detail exactly what GDPR and CCPA re
 quire in data protection and the shortcomings of some current de-identifica
 tion techniques. Additionally covered will be techniques to properly i
 dentify data, which include purposely fuzzing data so that data report
 ed is not actually accurate. The data would be "skewed" in a
  standard way. Other options include encryption techniques where the d
 ata cannot be decrypted except by the owner.  \nAttendees will le
 arn:\n\n	Why and how data is re-identified\n	What GDPR and CCPA require\n
 Examples of re-identification\n
 Best solutions to properly de-identify data\n
 Companies that are doing a better job of de-identification of data\n
DTSTART:20201021T083000
SUMMARY:Why "De-Identification" Will NOT Satisfy GDPR and CCPA Solutions
DTEND:20201021T091959
LOCATION: See Description
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