<?xml version="1.0" encoding="UTF-8"?>
<reference anchor="I-D.ietf-ppm-dap" target="https://datatracker.ietf.org/doc/html/draft-ietf-ppm-dap-09">
   <front>
      <title>Distributed Aggregation Protocol for Privacy Preserving Measurement</title>
      <author initials="T." surname="Geoghegan" fullname="Tim Geoghegan">
         <organization>ISRG</organization>
      </author>
      <author initials="C." surname="Patton" fullname="Christopher Patton">
         <organization>Cloudflare</organization>
      </author>
      <author initials="B." surname="Pitman" fullname="Brandon Pitman">
         <organization>ISRG</organization>
      </author>
      <author initials="E." surname="Rescorla" fullname="Eric Rescorla">
         <organization>Mozilla</organization>
      </author>
      <author initials="C. A." surname="Wood" fullname="Christopher A. Wood">
         <organization>Cloudflare</organization>
      </author>
      <date month="December" day="18" year="2023" />
      <abstract>
	 <t>   There are many situations in which it is desirable to take
   measurements of data which people consider sensitive.  In these
   cases, the entity taking the measurement is usually not interested in
   people&#x27;s individual responses but rather in aggregated data.
   Conventional methods require collecting individual responses and then
   aggregating them, thus representing a threat to user privacy and
   rendering many such measurements difficult and impractical.  This
   document describes a multi-party distributed aggregation protocol
   (DAP) for privacy preserving measurement (PPM) which can be used to
   collect aggregate data without revealing any individual user&#x27;s data.

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-ietf-ppm-dap-09" />
   
</reference>
