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https://issues.apache.org/jira/browse/MADLIB-911?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16661446#comment-16661446
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Himanshu Pandey edited comment on MADLIB-911 at 10/23/18 11:21 PM:
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[~fmcquillan],
Are we looking to De-anonymize the anonymized data as well?
was (Author: [email protected]):
[~fmcquillan],
Are we also looking to De-anonymize the anonymized data as well?
> Anonymization
> -------------
>
> Key: MADLIB-911
> URL: https://issues.apache.org/jira/browse/MADLIB-911
> Project: Apache MADlib
> Issue Type: New Feature
> Components: Module: Utilities
> Reporter: Frank McQuillan
> Assignee: Himanshu Pandey
> Priority: Major
> Labels: starter
>
> Story
> As a data scientist, I want to perform anonymization operations on my data,
> so that I can prepare it for input to predictive analytics algorithms. I
> also want to be able to de-anonymize my data.
> This feature is relevant especially given the recent GDPR policy:
> https://eugdpr.org/
> Proposed functionality:
> * Create conversion table for anonymization.
> * Create an anonymized version of a table.
> * Create a deanonymized version of a table
> Must be able to:
> * anonymize multiple columns in a table
> * datasets will still join correctly even on masked columns
> * the aggregates on masked columns will match to the original
> * add salt to hash function for better security
> References
> [1] PDL tools
> http://pivotalsoftware.github.io/PDLTools/group__grp__anonymization.html
> [2] General information on anonymization
> https://en.wikipedia.org/wiki/Data_anonymization
> [3] Blog on hashing
> https://crackstation.net/hashing-security.htm
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