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Batched Token Issuance Protocol
draft-ietf-privacypass-batched-tokens-01

Document Type Active Internet-Draft (privacypass WG)
Authors Raphael Robert , Christopher A. Wood
Last updated 2024-04-08
Replaces draft-robert-privacypass-batched-tokens
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Intended RFC status Proposed Standard
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draft-ietf-privacypass-batched-tokens-01
Network Working Group                                          R. Robert
Internet-Draft                                               Phoenix R&D
Intended status: Standards Track                              C. A. Wood
Expires: 10 October 2024                                      Cloudflare
                                                            8 April 2024

                    Batched Token Issuance Protocol
                draft-ietf-privacypass-batched-tokens-01

Abstract

   This document specifies a variant of the Privacy Pass issuance
   protocol that allows for batched issuance of tokens.  This allows
   clients to request more than one token at a time and for issuers to
   isse more than one token at a time.

Status of This Memo

   This Internet-Draft is submitted in full conformance with the
   provisions of BCP 78 and BCP 79.

   Internet-Drafts are working documents of the Internet Engineering
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   material or to cite them other than as "work in progress."

   This Internet-Draft will expire on 10 October 2024.

Copyright Notice

   Copyright (c) 2024 IETF Trust and the persons identified as the
   document authors.  All rights reserved.

   This document is subject to BCP 78 and the IETF Trust's Legal
   Provisions Relating to IETF Documents (https://trustee.ietf.org/
   license-info) in effect on the date of publication of this document.
   Please review these documents carefully, as they describe your rights
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   provided without warranty as described in the Revised BSD License.

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Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   2
   2.  Motivation  . . . . . . . . . . . . . . . . . . . . . . . . .   2
   3.  Client-to-Issuer Request  . . . . . . . . . . . . . . . . . .   3
   4.  Issuer-to-Client Response . . . . . . . . . . . . . . . . . .   4
   5.  Finalization  . . . . . . . . . . . . . . . . . . . . . . . .   6
   6.  Security considerations . . . . . . . . . . . . . . . . . . .   8
   7.  IANA considerations . . . . . . . . . . . . . . . . . . . . .   8
     7.1.  Token Type  . . . . . . . . . . . . . . . . . . . . . . .   8
   8.  References  . . . . . . . . . . . . . . . . . . . . . . . . .   8
     8.1.  Normative References  . . . . . . . . . . . . . . . . . .   8
     8.2.  Informative References  . . . . . . . . . . . . . . . . .   9
   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .   9

1.  Introduction

   This document specifies a variant of the Privacy Pass issuance
   protocol (as defined in [ARCH]) that allows for batched issuance of
   tokens.  This allows clients to request more than one token at a time
   and for issuers to isse more than one token at a time.

   The base Privacy Pass issuance protocol [ISSUANCE] defines stateless
   anonymous tokens, which can either be publicly verifiable or not.
   While it is possible to run multiple instances of the issuance
   protocol in parallel, e.g., over a multiplexed transport such as
   HTTP/3 [HTTP3], the cost of doing so scales linearly with the number
   of instances.

   This variant builds upon the privately verifiable issuance protocol
   that uses VOPRF [OPRF], and allows for batched issuance of tokens.
   This allows clients to request more than one token at a time and for
   issuers to issue more than one token at a time.  In effect, batched
   issuance performance scales better than linearly.

   This issuance protocol registers the batched token type
   (Section 7.1), to be used with the PrivateToken HTTP authentication
   scheme defined in [AUTHSCHEME].

2.  Motivation

   Privately Verifiable Tokens (as defines in [ISSUANCE]) offer a simple
   way to unlink the issuance from the redemption.  The base protocol
   however only allows for a single token to be issued at a time for
   every challenge.  In some cases, especially where a large number of
   clients need to fetch a large number of tokens, this may introduce
   performance bottlenecks.  The Batched Token Issuance Protocol
   improves upon the basic Privately Verifiable Token issuance protocol

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   in the following key ways:

   1.  Issuing multiple tokens at once in response to a single
       TokenChallenge, thereby reducing the size of the proofs required
       for multiple tokens.

   2.  Improving server and client issuance efficiency by amortizing the
       cost of the VOPRF proof generation and verification,
       respectively.

3.  Client-to-Issuer Request

   Except where specified otherwise, the client follows the same
   protocol as described in [ISSUANCE], Section 5.1.

   The Client first creates a context as follows:

   client_context = SetupVOPRFClient(ciphersuiteID, pkI)

   ciphersuiteID is the ciphersuite identifier from [OPRF] corresponding
   to the ciphersuite being used for this token version.
   SetupVOPRFClient is defined in [OPRF], Section 3.2.

   Nr denotes the number of tokens the clients wants to request.  For
   every token, the Client then creates an issuance request message for
   a random value nonce with the input challenge and Issuer key
   identifier as described below:

nonce_i = random(32)
challenge_digest = SHA256(challenge)
token_input = concat(token_type, nonce_i, challenge_digest, token_key_id)
blind_i, blinded_element_i = client_context.Blind(token_input)

   token_type corresponds to the 2-octet integer in the challenge.

   The above is repeated for each token to be requested.  Importantly, a
   fresh nonce MUST be sampled each time.

   The Client then creates a TokenRequest structured as follows:

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   struct {
       uint8_t blinded_element[Ne];
   } BlindedElement;

   struct {
      uint16_t token_type;
      uint8_t truncated_token_key_id;
      BlindedElement blinded_elements<0..2^16-1>;
   } TokenRequest;

   The structure fields are defined as follows:

   *  "token_type" is a 2-octet integer, which matches the type in the
      challenge.

   *  "truncated_token_key_id" is the least significant byte of the
      token_key_id in network byte order (in other words, the last 8
      bits of token_key_id).

   *  "blinded_elements" is a list of Nr serialized elements, each of
      length Ne bytes and computed as
      SerializeElement(blinded_element_i), where blinded_element_i is
      the i-th output sequence of Blind invocations above.  Ne is as
      defined in [OPRF], Section 4.

   Upon receipt of the request, the Issuer validates the following
   conditions:

   *  The TokenRequest contains a supported token_type equal to one of
      the batched token types defined in this document.

   *  The TokenRequest.truncated_token_key_id corresponds to a key ID of
      a Public Key owned by the issuer.

   *  Nr, as determined based on the size of
      TokenRequest.blinded_elements, is less than or equal to the number
      of tokens that the issuer can issue in a single batch.

   If any of these conditions is not met, the Issuer MUST return an HTTP
   400 error to the client.

4.  Issuer-to-Client Response

   Except where specified otherwise, the client follows the same
   protocol as described in [ISSUANCE], Section 5.2.

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   Upon receipt of a TokenRequest, the Issuer tries to deseralize the
   i-th element of TokenRequest.blinded_elements using
   DeserializeElement from Section 2.1 of [OPRF], yielding
   blinded_element_i of type Element.  If this fails for any of the
   TokenRequest.blinded_elements values, the Issuer MUST return an HTTP
   400 error to the client.  Otherwise, if the Issuer is willing to
   produce a token to the Client, the issuer forms a list of Element
   values, denoted blinded_elements, and computes a blinded response as
   follows:

server_context = SetupVOPRFServer(ciphersuiteID, skI, pkI)
evaluated_elements, proof = server_context.BlindEvaluateBatch(skI, blinded_elements)

   ciphersuiteID is the ciphersuite identifier from [OPRF] corresponding
   to the ciphersuite being used for this token version.
   SetupVOPRFServer is defined in [OPRF], Section 3.2.  The issuer uses
   a list of blinded elements to compute in the proof generation step.
   The BlindEvaluateBatch function is a batch-oriented version of the
   BlindEvaluate function described in [OPRF], Section 3.3.2.  The
   description of BlindEvaluateBatch is below.

   Input:

     Element blindedElements[Nr]

   Output:

     Element evaluatedElements[Nr]
     Proof proof

   Parameters:

     Group G
     Scalar skS
     Element pkS

   def BlindEvaluateBatch(blindedElements):
     evaluatedElements = []
     for blindedElement in blindedElements:
       evaluatedElements.append(skS * blindedElement)

     proof = GenerateProof(skS, G.Generator(), pkS,
                           blindedElements, evaluatedElements)
     return evaluatedElements, proof

   The Issuer then creates a TokenResponse structured as follows:

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   struct {
       uint8_t evaluated_element[Ne];
   } EvaluatedElement;

   struct {
      EvaluatedElement evaluated_elements<0..2^16-1>;
      uint8_t evaluated_proof[Ns + Ns];
   } TokenResponse;

   The structure fields are defined as follows:

   *  "evaluated_elements" is a list of Nr serialized elements, each of
      length Ne bytes and computed as
      SerializeElement(evaluate_element_i), where evaluate_element_i is
      the i-th output of BlindEvaluate.

   *  "evaluated_proof" is the (Ns+Ns)-octet serialized proof, which is
      a pair of Scalar values, computed as
      concat(SerializeScalar(proof[0]), SerializeScalar(proof[1])),
      where Ns is as defined in [OPRF], Section 4.

5.  Finalization

   Upon receipt, the Client handles the response and, if successful,
   deserializes the body values TokenResponse.evaluate_response and
   TokenResponse.evaluate_proof, yielding evaluated_elements and proof.
   If deserialization of either value fails, the Client aborts the
   protocol.  Otherwise, the Client processes the response as follows:

authenticator_values = client_context.FinalizeBatch(token_input, blind, evaluated_elements, blinded_elements, proof)

   The FinalizeBatch function is a batched variant of the Finalize
   function as defined in [OPRF], Section 3.3.2.  FinalizeBatch accepts
   lists of evaluated elements and blinded elements as input parameters,
   and is implemented as described below:

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Input:

  PrivateInput input
  Scalar blind
  Element evaluatedElements[Nr]
  Element blindedElements[Nr]
  Proof proof

Output:

  opaque output[Nh * Nr]

Parameters:

  Group G
  Element pkS

Errors: VerifyError

def FinalizeBatch(input, blind, evaluatedElements, blindedElements, proof):
  if VerifyProof(G.Generator(), pkS, blindedElements,
                 evaluatedElements, proof) == false:
    raise VerifyError

  output = nil
  for evaluatedElement in evaluatedElements:
    N = G.ScalarInverse(blind) * evaluatedElement
    unblindedElement = G.SerializeElement(N)
    hashInput = I2OSP(len(input), 2) || input ||
                I2OSP(len(unblindedElement), 2) || unblindedElement ||
                "Finalize"
    output = concat(output, Hash(hashInput))

  return output

   If this succeeds, the Client then constructs Nr Token values as
   follows, where authenticator is the i-th Nh-byte length slice of
   authenticator_values that corresponds to nonce, the i-th nonce that
   was sampled in Section 3:

   struct {
       uint16_t token_type;
       uint8_t nonce[32];
       uint8_t challenge_digest[32];
       uint8_t token_key_id[32];
       uint8_t authenticator[Nh];
   } Token;

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   If the FinalizeBatch function fails, the Client aborts the protocol.

6.  Security considerations

   Implementors SHOULD be aware of the security considerations described
   in [OPRF], Section 6.2.3 and implement mitigation mechanisms.
   Application can mitigate this issue by limiting the number of clients
   and limiting the number of token requests per client per key.

7.  IANA considerations

7.1.  Token Type

   This document updates the "Token Type" Registry ([AUTHSCHEME]) with
   the following value:

    +======+================+==========+========+========+==+=========+
    |Value | Name           |Publicly  |Public  |Private |Nk|Reference|
    |      |                |Verifiable|Metadata|Metadata|  |         |
    +======+================+==========+========+========+==+=========+
    |0xF901| Batched Token  |N         |N       |N       |32|This     |
    |      | VOPRF (P-384,  |          |        |        |  |document |
    |      | SHA-384)       |          |        |        |  |         |
    +------+----------------+----------+--------+--------+--+---------+
    |0xF91A| Batched Token  |N         |N       |N       |32|This     |
    |      | VOPRF          |          |        |        |  |document |
    |      | (ristretto255, |          |        |        |  |         |
    |      | SHA-512)       |          |        |        |  |         |
    +------+----------------+----------+--------+--------+--+---------+

                            Table 1: Token Types

8.  References

8.1.  Normative References

   [ARCH]     Davidson, A., Iyengar, J., and C. A. Wood, "The Privacy
              Pass Architecture", Work in Progress, Internet-Draft,
              draft-ietf-privacypass-architecture-16, 25 September 2023,
              <https://datatracker.ietf.org/doc/html/draft-ietf-
              privacypass-architecture-16>.

   [AUTHSCHEME]
              Pauly, T., Valdez, S., and C. A. Wood, "The Privacy Pass
              HTTP Authentication Scheme", Work in Progress, Internet-
              Draft, draft-ietf-privacypass-auth-scheme-15, 23 October
              2023, <https://datatracker.ietf.org/doc/html/draft-ietf-
              privacypass-auth-scheme-15>.

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   [ISSUANCE] Celi, S., Davidson, A., Valdez, S., and C. A. Wood,
              "Privacy Pass Issuance Protocol", Work in Progress,
              Internet-Draft, draft-ietf-privacypass-protocol-16, 3
              October 2023, <https://datatracker.ietf.org/doc/html/
              draft-ietf-privacypass-protocol-16>.

   [OPRF]     Davidson, A., Faz-Hernandez, A., Sullivan, N., and C. A.
              Wood, "Oblivious Pseudorandom Functions (OPRFs) using
              Prime-Order Groups", Work in Progress, Internet-Draft,
              draft-irtf-cfrg-voprf-21, 21 February 2023,
              <https://datatracker.ietf.org/doc/html/draft-irtf-cfrg-
              voprf-21>.

8.2.  Informative References

   [HTTP3]    Bishop, M., Ed., "HTTP/3", RFC 9114, DOI 10.17487/RFC9114,
              June 2022, <https://www.rfc-editor.org/rfc/rfc9114>.

Authors' Addresses

   Raphael Robert
   Phoenix R&D
   Email: ietf@raphaelrobert.com

   Christopher A. Wood
   Cloudflare
   Email: caw@heapingbits.net

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