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Re: [AGENDA] W3C Credentials Community Call - 18 July 2017 12pm ET

From: Kim Hamilton Duffy <kim@learningmachine.com>
Date: Tue, 18 Jul 2017 15:51:31 +0000
Message-ID: <CAB=TY87gLDvdRRe=PGkLFKtCsvZOJKRcPHjdArW+UrRxp3tmsg@mail.gmail.com>
To: Christopher Allen <ChristopherA@blockstream.com>
Cc: "W3C Credentials CG (Public List)" <public-credentials@w3.org>, "W3C Digital Verification CG (Public List)" <public-digital-verification@w3.org>
Reordering of topics to ensure we can cover DID updates with Drummond and
Manu present:

NEXT MEETING:

Tuesday, July 18th, 2017
Time: 12pm Boston, 9am Pacific, 16:00 GMT
Text Chat: http://tinyurl.com/w3c-vctf
           irc://irc.w3.org:6665/#vctf
Voice: sip:vctf@96.89.14.196
       tel:+1-540-961-4469;ext=6306 <(540)%20961-4469> (extension 6306)
Duration: 60 minutes
Scribes: RichardV, NathanG, MatthewL, NateO, Drummond, DanB, JonnyCrunch,
AdamM, AdamL, JoeA, GreggK, KimHD, HarlanW, MattS, ChristopherA, Manu,
Longley

This is a joint meeting of the Credentials and Digital Verification
Community Groups. It is held immediately after the Verifiable Claims WG
call. Anyone may participate in these community group calls — you do not
need to be a W3C member.

Minutes from last call: (coming soon)

PROPOSED AGENDA:
1. Agenda review (3 minutes)
2. Introductions & Re-Introduction (3 minutes)
- Re-Introduction is a new regular agenda item, where each week we ask a
longer-term member to re-introduce themselves to more recent members.
3. Status of current action items (4 minutes)
- ALL: Poll for priorities on work items - [DONE] https://goo.gl/e12TNY
- ALL: Naming options [IN-PROGRESS]
               - Poll: https://goo.gl/forms/z6t2IHQbK8ltRkXm2
               - Current results: https://goo.gl/XFxqFH
               - Background: https://goo.gl/6jpvoy
- ALL: Approve New Name and Mission Statement - [DUE JULY]
- ChristopherA: First draft of CG Mission Statement for review - [ON HOLD
Re: APPROVE NAME & MISSION https://goo.gl/sNs2vl
- ChristopherA: Create a new proposal for how Digital Verification CG
integrates - ON HOLD re: APPROVE NAME & MISSION
4. DID updates (25 minutes)
- Plans for DID Spec deliverable plus any other updates (Drummond, Manu)
- Discussion about BTCR Hackathon insights and results (Christopher, Ryan,
and Kim)
5. Data Minimization and Selective Disclosure (20 minutes)
- Christopher and Jan to facilitate discussion
- Discuss topics, Q&A
6. Action items and suggestions for next week agenda  (5 minutes)

— Christopher Allen & Kim Hamilton, co-chairs

On Tue, Jul 18, 2017 at 8:44 AM Christopher Allen <
ChristopherA@blockstream.com> wrote:

> On Fri, Jul 14, 2017 at 4:31 PM, Kim Hamilton Duffy <
> kim@learningmachine.com> wrote:
>
>> 4. Data Minimization and Selective Disclosure (20 minutes)
>> - Christopher and Jan to facilitate discussion
>> - Discuss topics, Q&A
>>
>
>  Jan has some slides, which I’ve posted at
> https://drive.google.com/open?id=0B8UHtBOakwo8cDg1M3JjRDBqUmM
>
> On my side, which we don’t have time to report out, are some thoughts on
> data minimization.
>
> Here is some of my research so far on the the requirements for the most
> basic of the items “data minimization”.
>
> What are its best practices? Best tactics? No easy answers.
>
> NIST and GDPR says we have to do it, but not a lot of requirements.
>
> =====
>
> NIST SP 800-63 Digital Identity Guidelines
> https://pages.nist.gov/800-63-3/
>
> https://pages.nist.gov/800-63-3/sp800-63a/sec8_privacy.html
> ### 8.1 Collection and Data Minimization
> Section 4.2 requirement 2 permits the collection of only the PII necessary
> to validate the existence of the claimed identity and associate the claimed
> identity to the applicant, based on best available practices for
> appropriate identity resolution, validation, and verification. Collecting
> unnecessary PII can create confusion regarding why information not being
> used for the identity proofing service is being collected. This leads to
> invasiveness or overreach concerns, which can lead to loss of applicant
> trust. Furthermore, PII retention can become vulnerable to unauthorized
> access or use. Data minimization reduces the amount of PII vulnerable to
> unauthorized access or use, and encourages trust in the identity proofing
> process.
>
> http://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-63c.pdf
>
> 9.3 Data Minimization
> Federation enables the data exposed to an RP to be minimized —
> resultantly, the subscriber’s privacy is enhanced. Although an IdP may
> collect additional attributes beyond what the RP requires for its use case,
> only those attributes that were explicitly requested by the RP are to be
> transmitted by the IdP. In some instances, an RP does not require a full
> value of an attribute. For example, an RP may need to know whether the
> subscriber is over 13 years old, but has no need for the full date of
> birth. To minimize collection of potentially sensitive PII, the RP may
> request an attribute reference (e.g., Question: Is the subscriber over 13
> years old? Response: Y/N or Pass/Fail). This minimizes the RP’s collection
> of potentially sensitive and unnecessary PII. Accordingly, Section 7.3
> requires the RP to, where feasible, request attribute references rather
> than full attribute values. To support this RP requirement IdPs are, in
> turn, required to support attribute references.
>
> ----
>
> http://www.lewik.org/term/13593/data-minimisation-principle-gdpr/
>
> Data minimisation principle (GDPR)
> Definition
> Personal data shall be:
>
> (c) Adequate, relevant and limited to what is necessary in relation to the
> purposes for which they are processed
> (‘data minimisation’);
> Source law
> General Data Protection Regulation
> Chapter II, Article 5, paragraph 1
>
> ---
>
> https://www.privacy-regulation.eu/en/5.htm
>
> 1. Personal data shall be:
> (a) processed lawfully, fairly and in a transparent manner in relation to
> the data subject ('lawfulness, fairness and transparency');
> => Article: 6, 9
> (b) collected for specified, explicit and legitimate purposes and not
> further processed in a manner that is incompatible with those purposes;
> further processing for archiving purposes in the public interest,
> scientific or historical research purposes or statistical purposes shall,
> in accordance with Article 89(1), not be considered to be incompatible with
> the initial purposes ('purpose limitation');
> => Article: 26
> (c) adequate, relevant and limited to what is necessary in relation to the
> purposes for which they are processed ('data minimisation');
> (d) accurate and, where necessary, kept up to date; every reasonable step
> must be taken to ensure that personal data that are inaccurate, having
> regard to the purposes for which they are processed, are erased or
> rectified without delay ('accuracy');
> => Article: 16
> (e) kept in a form which permits identification of data subjects for no
> longer than is necessary for the purposes for which the personal data are
> processed; personal data may be stored for longer periods insofar as the
> personal data will be processed solely for archiving purposes in the public
> interest, scientific or historical research purposes or statistical
> purposes in accordance with Article 89(1) subject to implementation of the
> appropriate technical and organisational measures required by this
> Regulation in order to safeguard the rights and freedoms of the data
> subject ('storage limitation');
> (f) processed in a manner that ensures appropriate security of the
> personal data, including protection against unauthorised or unlawful
> processing and against accidental loss, destruction or damage, using
> appropriate technical or organisational measures ('integrity and
> confidentiality').
> => Article: 24, 32
> 2. The controller shall be responsible for, and be able to demonstrate
> compliance with, paragraph 1 ('accountability').
> => Article: 77, 82, 83
>
>
> ==========
>
> The best source I’ve found so far (sent by Jan) are some what is desirable
> or undesireable in data minimization:
>
> =========
>
> Pfitzmann, A & Hansen M — "A terminology for talking about privacy by data
> minimization: Anonymity, Unlinkability, Undetectability, Unobservability,
> Pseudonymity, and Identity Management"
> http://dud.inf.tu-dresden.de/literatur/Anon_Terminology_v0.34.pdf
>
> **Anonymity** of a subject from an attacker’s perspective means that the
> attacker cannot sufficiently identify the subject within a set of subjects,
> the anonymity set.
>
> VS. **Identifiability** of a subject from an attacker’s perspective means
> that the attacker can sufficiently identify the subject within a set of
> subjects, the identifiability set.
>
> ---
> **Unlinkability** of two or more items of interest (IOIs, e.g., subjects,
> messages, actions, ...) from an attacker’s perspective means that within
> the system (comprising these and possibly other items), the attacker cannot
> sufficiently distinguish whether these IOIs are related or not.
>
> VS. **Linkability** of two or more items of interest (IOIs, e.g.,
> subjects, messages, actions, ...) from an attacker’s perspective means that
> within the system (comprising these and possibly other items), the attacker
> can sufficiently distinguish whether these IOIs are related or not.
>
> ---
>
> **Undetectability** of an item of interest (IOI) from an attacker’s
> perspective means that the attacker cannot sufficiently distinguish whether
> it exists or not.
>
> VS. **Detectability** of an item of interest (IOI) from an attacker’s
> perspective means that the attacker can sufficiently distinguish whether it
> exists or
> not.
>
> ---
>
> **Unobservability** of an item of interest (IOI) means
> * undetectability of the IOI against all subjects uninvolved in it and
> * anonymity of the subject(s) involved in the IOI even against the other
> subject(s) involved in that IOI.
>
> VS. **Observability** of an item of interest (IOI) means:
> <many possibilities to define the semantics>.
>
>
> ========
>
>
> — Christopher Allen
>
-- 
Kim Hamilton Duffy
Principal Engineer | Learning Machine + MIT Media Lab
Co-chair W3C Credentials Community Group
400 Main Street Building E19-732, Cambridge, MA 02139
12001 N. Central Expy, Suite 1025, Dallas, TX 75243

kim@learningmachine.com | kimhd@mit.edu
425-652-0150 | LearningMachine.com
Received on Tuesday, 18 July 2017 15:52:11 UTC

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