# Dining cryptographers problem

(Redirected from Dining cryptographers protocol)

In cryptography, the dining cryptographers problem studies how to perform a secure multi-party computation of the boolean-OR function. David Chaum first proposed this problem in the early 1980s and used it as an illustrative example to show that it was possible to send anonymous messages with unconditional sender and recipient untraceability. Anonymous communication networks based on this problem are often referred to as DC-nets (where DC stands for "dining cryptographers").

Despite the word dining, the dining cryptographers problem is unrelated to the dining philosophers problem.

## Description

Dining cryptographers problem illustration

Three cryptographers gather around a table for dinner. The waiter informs them that the meal has been paid for by someone, who could be one of the cryptographers or the National Security Agency (NSA). The cryptographers respect each other's right to make an anonymous payment, but want to find out whether the NSA paid. So they decide to execute a two-stage protocol.

In the first stage, every two cryptographers establish a shared one-bit secret, say by tossing a coin behind a menu so that only two cryptographers see the outcome in turn for each two cryptographers. Suppose, for example, that after the coin tossing, cryptographer A and B share a secret bit ${\displaystyle 1}$, A and C share ${\displaystyle 0}$, and B and C share ${\displaystyle 1}$.

In the second stage, each cryptographer publicly announces a bit, which is:

• if they didn't pay for the meal, the exclusive OR (XOR) of the two shared bits they hold with their two neighbours,
• if they did pay for the meal, the opposite of that XOR.

Supposing none of the cryptographers paid, then A announces ${\displaystyle 1\oplus 0=1}$, B announces ${\displaystyle 1\oplus 1=0}$, and C announces ${\displaystyle 0\oplus 1=1}$. On the other hand, if A paid, she announces ${\displaystyle \lnot (1\oplus 0)=0}$.

The three public announcements combined reveal the answer to their question. One simply computes the XOR of the three bits announced. If the result is 0, it implies that none of the cryptographers paid (so the NSA must have paid the bill). Otherwise, one of the cryptographers paid, but their identity remains unknown to the other cryptographers.

David Chaum coined the term dining cryptographers network, or DC-net, for this protocol.

## Limitations

The DC-net protocol is simple and elegant. It has several limitations, however, some solutions to which have been explored in follow-up research (see the References section below).

Collision
If two cryptographers paid for the dinner, their messages will cancel each other out, and the final XOR result will be ${\displaystyle 0}$. This is called a collision and allows only one participant to transmit at a time using this protocol. In a more general case, a collision happens as long as any even number of participants send messages.
Disruption
Any malicious cryptographer who does not want the group to communicate successfully can jam the protocol so that the final XOR result is useless, simply by sending random bits instead of the correct result of the XOR. This problem occurs because the original protocol was designed without using any public key technology and lacks reliable mechanisms to check whether participants honestly follow the protocol.[1]
Complexity
The protocol requires pairwise shared secret keys between the participants, which may be problematic if there are many participants. Also, though the DC-net protocol is "unconditionally secure", it actually depends on the assumption that "unconditionally secure" channels already exist between pairs of the participants, which is not easy to achieve in practice.

A related anonymous veto network algorithm computes the logical OR of several users' inputs, rather than a logical XOR as in DC-nets, which may be useful in applications to which a logical OR combining operation is naturally suited.

## History

David Chaum first thought about this problem in the early 1980s. The first publication that outlines the basic underlying ideas is his.[2] The journal version appeared in the very first issue of the Journal of Cryptology.[3]

## Generalizations

DC-nets are readily generalized to allow for transmissions of more than one bit per round, for groups larger than three participants, and for arbitrary "alphabets" other than the binary digits 0 and 1, as described below.

### Transmissions of longer messages

To enable an anonymous sender to transmit more than one bit of information per DC-nets round, the group of cryptographers can simply repeat the protocol as many times as desired to create a desired number of bits worth of transmission bandwidth. These repetitions need not be performed serially. In practical DC-net systems, it is typical for pairs of participants to agree up-front on a single shared "master" secret, using Diffie–Hellman key exchange for example. Each participant then locally feeds this shared master secret into a pseudorandom number generator, in order to produce as many shared "coin flips" as desired to allow an anonymous sender to transmit multiple bits of information.

### Larger group sizes

The protocol can be generalized to a group of ${\displaystyle \scriptstyle n}$ participants, each with a shared secret key in common with each other participant. In each round of the protocol, if a participant wants to transmit an untraceable message to the group, they invert their publicly announced bit. The participants can be visualized as a fully connected graph with the vertices representing the participants and the edges representing their shared secret keys.

### Sparse secret sharing graphs

The protocol may be run with less than fully connected secret sharing graphs, which can improve the performance and scalability of practical DC-net implementations, at the potential risk of reducing anonymity if colluding participants can split the secret sharing graph into separate connected components. For example, an intuitively appealing but less secure generalization to ${\displaystyle n>3}$ participants using a ring topology, where each cryptographer sitting around a table shares a secret only with the cryptographer to their immediate left and right, and not with every other cryptographer. Such a topology is appealing because each cryptographer needs to coordinate two coin flips per round, rather than ${\displaystyle n}$. However, if Adam and Charlie are actually NSA agents sitting immediately to the left and right of Bob, an innocent victim, and if Adam and Charlie secretly collude to reveal their secrets to each other, then they can determine with certainty whether or not Bob was the sender of a 1 bit in a DC-net run, regardless of how many participants there are in total. This is because the colluding participants Adam and Charlie effectively "split" the secret sharing graph into two separate disconnected components, one containing only Bob, the other containing all other honest participants.

Another compromise secret sharing DC-net topology, employed in the Dissent system for scalability,[4] may be described as a client/server or user/trustee topology. In this variant, we assume there are two types of participants playing different roles: a potentially large number n of users who desire anonymity, and a much smaller number ${\displaystyle m}$ of trustees whose role is to help the users obtain that anonymity. In this topology, each of the ${\displaystyle n}$ users shares a secret with each of the ${\displaystyle m}$ trustees - but users share no secrets directly with other users, and trustees share no secrets directly with other trustees – resulting in an ${\displaystyle n\times m}$ secret sharing matrix. If the number of trustees ${\displaystyle m}$ is small, then each user needs to manage only a few shared secrets, improving efficiency for users in the same way the ring topology does. However, as long as at least one trustee behaves honestly and does not leak his or her secrets or collude with other participants, then that honest trustee forms a "hub" connecting all honest users into a single fully connected component, regardless of which or how many other users and/or trustees might be dishonestly colluding. Users need not know or guess which trustee is honest; their security depends only on the existence of at least one honest, non-colluding trustee.

### Alternate alphabets and combining operators

Though the simple DC-nets protocol uses binary digits as its transmission alphabet, and uses the XOR operator to combine cipher texts, the basic protocol generalizes to any alphabet and combining operator suitable for one-time pad encryption. This flexibility arises naturally from the fact that the secrets shared between the many pairs of participants are, in effect, merely one-time pads combined together symmetrically within a single DC-net round.

One useful alternate choice of DC-nets alphabet and combining operator is to use a finite group suitable for public-key cryptography as the alphabet - such as a Schnorr group or elliptic curve - and to use the associated group operator as the DC-net combining operator. Such a choice of alphabet and operator makes it possible for clients to use zero-knowledge proof techniques to prove correctness properties about the DC-net ciphertexts that they produce - such as that the participant is not "jamming" the transmission channel - without compromising the anonymity offered by the DC-net. This technique was first suggested by Golle and Juels,[5] further developed by Franck,[6] and later implemented in Verdict, a cryptographically verifiable implementation of the Dissent system.[7]

## Handling or avoiding collisions

The measure originally suggested by David Chaum to avoid collisions is to retransmit the message once a collision is detected, but the paper does not explain exactly how to arrange the retransmission.

Dissent avoids the possibility of unintentional collisions by using a verifiable shuffle to establish a DC-nets transmission schedule, such that each participant knows exactly which bits in the schedule correspond to his own transmission slot, but does not know who owns other transmission slots.[8]

## Countering disruption attacks

Herbivore divides a large anonymity network into smaller DC-net groups, enabling participants to evade disruption attempts by leaving a disrupted group and joining another group, until the participant finds a group free of disruptors.[9] This evasion approach introduces the risk that an adversary who owns many nodes could selectively disrupt only groups the adversary has not completely compromised, thereby "herding" participants toward groups that may be functional precisely because they are completely compromised.[10]

Dissent implements several schemes to counter disruption. The original protocol[8] used a verifiable cryptographic shuffle to form a DC-net transmission schedule and distribute "transmission assignments", allowing the correctness of subsequent DC-nets ciphertexts to be verified with a simple cryptographic hash check. This technique required a fresh verifiable before every DC-nets round, however, leading to high latencies. A later, more efficient scheme allows a series of DC-net rounds to proceed without intervening shuffles in the absence of disruption, but in response to a disruption event uses a shuffle to distribute anonymous accusations enabling a disruption victim to expose and prove the identity of the perpetrator.[4] Finally, more recent versions support fully verifiable DC-nets - at substantial cost in computation efficiency due to the use of public-key cryptography in the DC-net - as well as a hybrid mode that uses efficient XOR-based DC-nets in the normal case and verifiable DC-nets only upon disruption, to distribute accusations more quickly than is feasible using verifiable shuffles.[7]

## References

1. ^
2. ^ David Chaum (1985). "Security without identification: transaction systems to make big brother obsolete" (PDF). Communications of the ACM. 28 (10): 1030–1044. doi:10.1145/4372.4373.
3. ^ David Chaum (1988). "The Dining Cryptographers Problem: Unconditional Sender and Recipient Untraceability". Journal of Cryptology. 1 (1): 65–75. doi:10.1007/BF00206326.
4. ^ a b David Isaac Wolinsky; Henry Corrigan-Gibbs; Bryan Ford; Aaron Johnson (October 8–10, 2012). Dissent in Numbers: Making Strong Anonymity Scale. 10th USENIX Symposium on Operating Systems Design and Implementation (OSDI). Hollywood, CA, USA.
5. ^ Philippe Golle; Ari Juels (May 2–6, 2004). Dining Cryptographers Revisited (PDF). Eurocrypt 2004. Interlaken, Switzerland.
6. ^ Franck, Christian (2008). New Directions for Dining Cryptographers (PDF) (M.Sc. thesis).
7. ^ a b Henry Corrigan-Gibbs; David Isaac Wolinsky; Bryan Ford (August 14–16, 2013). Proactively Accountable Anonymous Messaging in Verdict. 22nd USENIX Security Symposium. Washington, DC, USA.
8. ^ a b Henry Corrigan-Gibbs; Bryan Ford (October 2010). Dissent: Accountable Group Anonymity. 17th ACM Conference on Computer and Communications Security (CCS). Chicago, IL, USA.
9. ^ Emin Gün Sirer; Sharad Goel; Mark Robson; Doğan Engin (September 19–22, 2004). Eluding Carnivores: File Sharing with Strong Anonymity (PDF). ACM SIGOPS European workshop. Leuven, Belgium.
10. ^ Nikita Borisov; George Danezis; Prateek Mittal; Parisa Tabriz (October 2007). Denial of Service or Denial of Security? How Attacks on Reliability can Compromise Anonymity (PDF). ACM Conference on Computer and Communications Security (CCS). Alexandria, VA, USA.