Privacy by Design. Strategies & Patterns. Jaap-Henk Hoepman. Digital Security (DS) Radboud University Nijmegen, the Netherlands

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1 Privacy by Design Strategies & Patterns Jaap-Henk Hoepman Digital Security (DS) Radboud University Nijmegen, the // //

2 Introduction Security Privacy Identity Management Internet of Things Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 2

3 Software development cycle Concept Development Implementation Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 3

4 Privacy by design Protect privacy during technology development: From conception to realisation. Through the full product development lifecycle Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 4

5 Levels of abstraction Design strategy A basic method to achieve a particular design goal that has certain properties that allow it to be distinguished from other basic design strategies Design pattern Commonly recurring structure to solve a general design problem within a particular context (Privacy enhancing) technology A coherent set of ICT measures that protects privacy implemented using concrete technology Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 5

6 Software development cycle Concept Development Implementation Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 6

7 Levels of abstraction Design strategy A basic method to achieve a particular design goal that has certain properties that allow it to be distinguished from other basic design strategies Design pattern Commonly recurring structure to solve a general design problem within a particular context (Privacy enhancing) technology A coherent set of ICT measures that protects privacy implemented using concrete technology Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 7

8 Software development cycle Concept Development Implementation Privacy enhancing technologies Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 8

9 Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 9

10 Levels of abstraction Design strategy A basic method to achieve a particular design goal that has certain properties that allow it to be distinguished from other basic design strategies Design pattern Commonly recurring structure to solve a general design problem within a particular context (Privacy enhancing) technology A coherent set of ICT measures that protects privacy implemented using concrete technology Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 10

11 Concept development & analysis Privacy Impact Assessment Concept Development Analysis Privacy Design Strategies Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 11

12 Eight Privacy Design Strategies 12

13 Source #1: Solove Information storage Information flow Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 13

14 Source #2: data protection law Core principles Data minimisation Purpose limitation Proportionality Subsidiarity Data subject rights: consent, (re)view Adequate protection (Provable) Compliance Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 14

15 What happens if we want to apply these data protection principles to an information storage (ie database) system? Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 15

16 Individuals Database tables Attributes minimise separate aggregate hide Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 16

17 8 privacy design strategies Minimise The amount of PII should be minimal Separate Process PII in a distributed fashion Aggregate Process PII in the least possible detail Hide PII should not be stored in plain view Enforce A privacy policy should be in place and be enforced Inform Subjects should be informed when PII is processed Control Subjects should have control over when/how PII is processed Demonstrate Compliance to policies and legal requirements must be demonstrated Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 17

18 What did we cover Core principles Data minimisation Purpose limitation Proportionality Subsidiarity Data subject rights: consent, (re)view Adequate protection (Provable) Compliance Design strategies Minimise Separate Aggregate Hide Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 18

19 What did we cover Core principles Data minimisation Purpose limitation Proportionality Subsidiarity Data subject rights: consent, (re)view Adequate protection (Provable) Compliance Design strategies Minimise Separate Aggregate Hide Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 19

20 What did we cover Core principles Data minimisation Purpose limitation Proportionality Subsidiarity Data subject rights: consent, (re)view Adequate protection (Provable) Compliance Design strategies Minimise Separate Aggregate Hide Enforce Inform Control Demonstrate Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 20

21 8 privacy design strategies Minimise The amount of PII should be minimal Separate Process PII in a distributed fashion Aggregate Process PII in the least possible detail Hide PII should not be stored in plain view Enforce A privacy policy should be in place and be enforced Inform Subjects should be informed when PII is processed Control Subjects should have control over when/how PII is processed Demonstrate Compliance to policies and legal requirements must be demonstrated Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 21

22 What about design patterns? Strategy Patterns Coverage Minimise Separate Aggregate Hide Enforce Select before you collect, anonymisation,. Distribute, sector-specific pseudonyms Data fuzzing; coarse-grained location Encryption, onion routing,.. Access control, privacy licenses Inform P3P (?) Control Informed consent (?) Demonstrate Privacy management system, logging Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 22

23 Provides a scheme for refining the subsystems or components of a software system, or the relationships between them. It describes a commonly recurring structure of communicating components that solves a general design problem within a particular context. Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 23

24 (Privacy) Design Pattern Template Name Intent Application context Including the problem it aims to solve Implementation components & relationships Consequences / Forces & Concerns Results, side-effects, trade offs When to apply When not to apply Examples Related patterns Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 24

25 Contribute See also: blog.xot.nl Jaap-Henk Hoepman // Radboud University Nijmegen // // Privacy Desing Strategies and Patterns 25

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