1. The protection of digital identities in the context of big data analytics Harry Halpin OECD Technology Foresight Forum 23 October 2012 1

2. 2 There are real-life consequences Of data analytics and regulations

3. Technical Solutions do not work by themselves Technical Solutions do not work by themselves Mathematically impossible to truly anonymize large data Mathematically impossible to truly anonymize large data Signals for user-intent (Do-Not-Track) require co-operation Signals for user-intent (Do-Not-Track) require co-operation of the analytics How to even retrieve your personal data from the cloud? How to even retrieve your personal data from the cloud? Legal solutions have to be based in technology Legal solutions have to be based in technology Cost is very high to remove content from large data. Cost is very high to remove content from large data. Users often can't understand their consent to terms-of-service legal contracts, and these contracts often cannot be enforced technically. Users often can't understand their consent to terms-of-service legal contracts, and these contracts often cannot be enforced technically. We can't turn back the clock.. We can't turn back the clock.. Large data has revolutionary consequences for individual users and wider society beyond just advertisements Large data has revolutionary consequences for individual users and wider society beyond just advertisements Carbon emissions, health, scientific discovery Carbon emissions, health, scientific discovery 3 Yet currently you do not control your data Who does? Can you?

4. – 4 Policy must become technological Technology then becomes policy

5. 1.The current identity standards fragmentation (OpenID Connect, Mozilla Personae, Facebook Connect) 2.The need for secure digital signatures and better cryptography for high-value data: See W3C Web Cryptography API. 3.The need to secure the Web in general: W3C Web Application Security Working Group and IETF Web Security/JOSE groups. 1. Need to co-ordinate national-level attempts (NSTIC, India) with global open standard-bodies 5 Standards are the Key!

6. 6 The value of data is inherently collective, not individual. The Web becomes the Web of Data

7. 7 Enabling the protection of identity while allowing value to be created Think Answers to Questions, Not Collecting Large Data