Data anonymization

•

1 like•2,248 views

Satyam Agarwala

!
!
!
SATYAM AGARWALA
DEVELOPER

DATA
ANONYMIZATION

Why do we need data?

What is data anonymization?

Why anonymize data?

How do we anonymize data?

https://github.com/sunitparekh/data-anonymization
Sunit Parekh
Satyam Agarwala

You choose which
attributes to
anonymize
!
!
ﬁrst name
last name
address
zipcode
handphone
birth date
!
!
: Satyam
: Agarwala
: 87B Amoy Street
: 069906
: 8765 4321
: 01/01/1945
BLACKLIST

WHITELIST
You choose which
attributes NOT to
anonymize
!
!
ﬁrst name
last name
address
zipcode
handphone
birth date
!
!
: Satyam
: Woodward
: 10 Downing Street
: 123456
: 8765 4321
: 01/01/1945

Show me!

Script
(DSL, strategies, parallelization)
ORM
(RDBMS, NoSQL)
source DB destination DB
SUMMARY

GOTCHAS
FK CONSTRAINTS
Disable foreign key checks globally before running the script.
!
UNIQUE CONSTRAINTS
Whitelist or ensure a sequential non-random strategy for attributes that need to
be unique.

Are there other ways to anonymize
data?

FORMAL APPROACH
k-anonymity
!
l-diversity
!
t-closeness
!
δ-presence

ALTERNATIVE TOOLS
Arx
https://github.com/arx-
deidentiﬁer/arx

THANK YOU!

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Data anonymization

1. ! ! ! SATYAM AGARWALA DEVELOPER

2. DATA ANONYMIZATION

3. Why do we need data?

4. What is data anonymization?

5. Why anonymize data?

6.

7.

8. How do we anonymize data?

9. https://github.com/sunitparekh/data-anonymization Sunit Parekh Satyam Agarwala

10. You choose which attributes to anonymize ! ! ﬁrst name last name address zipcode handphone birth date ! ! : Satyam : Agarwala : 87B Amoy Street : 069906 : 8765 4321 : 01/01/1945 BLACKLIST

11. WHITELIST You choose which attributes NOT to anonymize ! ! ﬁrst name last name address zipcode handphone birth date ! ! : Satyam : Woodward : 10 Downing Street : 123456 : 8765 4321 : 01/01/1945

13. Script (DSL, strategies, parallelization) ORM (RDBMS, NoSQL) source DB destination DB SUMMARY

14. GOTCHAS FK CONSTRAINTS Disable foreign key checks globally before running the script. ! UNIQUE CONSTRAINTS Whitelist or ensure a sequential non-random strategy for attributes that need to be unique.

15. Are there other ways to anonymize data?

16. FORMAL APPROACH k-anonymity ! l-diversity ! t-closeness ! δ-presence

17. ALTERNATIVE TOOLS Arx https://github.com/arx- deidentiﬁer/arx