<?xml version="1.0" encoding="UTF-8"?>
<reference anchor="I-D.iab-privacy-partitioning" target="https://datatracker.ietf.org/doc/html/draft-iab-privacy-partitioning-01">
   <front>
      <title>Partitioning as an Architecture for Privacy</title>
      <author initials="M." surname="Kühlewind" fullname="Mirja Kühlewind">
         <organization>Ericsson Research</organization>
      </author>
      <author initials="T." surname="Pauly" fullname="Tommy Pauly">
         <organization>Apple</organization>
      </author>
      <author initials="C. A." surname="Wood" fullname="Christopher A. Wood">
         <organization>Cloudflare</organization>
      </author>
      <date month="March" day="13" year="2023" />
      <abstract>
	 <t>   This document describes the principle of privacy partitioning, which
   selectively spreads data and communication across multiple parties as
   a means to improve the privacy by separating user identity from user
   data.  This document describes emerging patterns in protocols to
   partition what data and metadata is revealed through protocol
   interactions, provides common terminology, and discusses how to
   analyze such models.

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-iab-privacy-partitioning-01" />
   
</reference>
