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https://issues.apache.org/jira/browse/MADLIB-911?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Frank McQuillan updated MADLIB-911:
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Description:
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
was:
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
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
> 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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