Efficient Unconditionally Secure Signatures Using Universal Hashing

Digital signatures are one of the most widely used cryptographic primitives and are indispensable for information and communications security. Secure digital signature schemes offer authenticity and integrity, non-repudiation, and transferability of digital content. However, the public-key digital signature schemes that are currently in use, such as RSA [1], ElGamal DSA [2] and ECDSA [3], provide only computational security, and rely on unproven hardness assumptions in number theory. This implies that algorithmic breakthrough and/or the advancement in computing technologies may one day render such digital signature schemes totally insecure. Another emerging threat to the security of these schemes is from quantum computers, which can use Shor’s algorithm [4] to efficiently solve the underlying “hard” problems and break all pre-quantum public-key cryptosystems. In response to this threat, the field of post-quantum cryptography is being developed. One can argue and ask whether quantum computers will ever be built. Large companies such as Google, Microsoft and IBM certainly seem to think it’s possible, and are allocating significant resources to research in this area. Furthermore, the National Security Agency (NSA) in the USA is also taking the threat from quantum computers very seriously, and in August 2015, the NSA recommended a transition to post-quantum secure algorithms [5].

In post-quantum cryptography, there exist “quantum-safe” public-key cryptosystems which are not yet known to be vulnerable to quantum attacks. Such schemes range from the historical McEliece cryptosystem [6], which is based on error-correcting codes, to more recent ones based on hash functions, lattices and multivariate polynomials. The security of these “quantum-safe” alternatives is based upon (again unproven) hard problems, some of which have not yet stood the test of time^{Footnote 1}. We stress again that even if the underlying problems were proven to be hard to solve, the security of such schemes is still only computational, and relies on the adversary having bounded computational resources. If we want signature schemes with “everlasting” security or are unsure of the resources available to our adversary, computational security may not be sufficient.

An alternative to “quantum-safe” public key signature schemes are unconditionally secure signature (USS) schemes, where security does not rely on any unproven assumptions, nor on bounds placed on the adversary’s computational resources. Instead, these schemes provide information-theoretic security. Such a high level of security, however, comes at a cost. So far, all USS schemes have been significantly less efficient than their quantum-safe competitors in terms of signature length, re-usability and key sizes. A more restrictive disadvantage however, is that all USS schemes use secret keys, rather than public keys.

USS schemes require a setup phase in which secret keys are distributed among participants before messages can be signed or verified. Therefore, they do not have the universal verifiability property inherent to standard public-key digital signature schemes. Due to this restriction, it is clear that USS schemes are not a suitable replacement for many core applications where digital signatures are used. Nevertheless, there may still be applications where USS schemes are useful for particularly important communications, for example in high-value banking transactions, when signing important legal documents, or securing sensitive government communications. Due to the requirement of distributing secret shared keys between participants, USS schemes should not be viewed as a standalone product. Instead, it should be viewed as a complement to existing QKD systems in fixed networks environments.

In this work, we propose a new USS scheme based on universal hashing. Compared to the previous USS schemes in the literature, our scheme enjoys a number of favourable properties such as short secret key lengths, short signature length, and high efficiency. Before we proceed, we first briefly survey the USS schemes which are already proposed in the literature. For a detailed overview, we refer the interested reader to [10] and the references therein.

1.1 Related Works

There are two lines of work on USS schemes: one on “classical” schemes (not employing quantum mechanics), and the other taking advantage of quantum-mechanical features. Although our scheme is entirely classical, it is similar to the quantum USS scheme proposed in Ref. [11].

Classical USS Schemes. The first attempt to construct an USS scheme was suggested by Chaum and Roijakkers [12], using authenticated broadcast channels, secret authenticated channels and also using untraceable sending protocols. Their scheme, however, only allows users to sign single-bit messages, and is therefore impractical. Moreover, the Chaum-Roijakkers scheme does not offer adequate transferability, which is crucial for a signature scheme, because the security is weakened as the message-signature pair is transferred among recipients. Pfitzmann and Waidner [13] also considered USS schemes (which they called pseudo-signatures) and constructed a scheme, somewhat related to ours, which could be used to generate information-theoretically secure Byzantine agreement. Their scheme built upon the protocol by Chaum and Roijakkers, but allowed longer messages to be signed and verified, though the scheme still required authenticated broadcast channels and untraceable sending protocols for implementation. Our scheme removes the requirement of authenticated broadcast channels by employing a method similar to secret sharing techniques [14].

Later, Hanaoka et al. [15] proposed an USS scheme relying on a trusted authority for key distribution, the existence of which allowed improvements both in efficiency and security over the scheme by Chaum and Roijakkers, at the cost of introducing this additional trust assumption. This scheme further improved all existing USS protocols by making the signature scheme re-usable. Nevertheless, the lengths of both the signature and the secret keys needed to generate signing/verification algorithms were still rather long, severely limiting its use in practice. A later variation of this scheme was proposed by Hanaoka et al. in [16]. This scheme sacrificed the re-usability of the previous scheme to achieve a reduction in the size of the secret keys needed to generate signing/verification algorithms by approximately a factor of 10.

Security notions of classical USS schemes are proposed and analysed in Shikata et al. [17] as well as Swanson and Stinson [18].

Quantum USS Schemes. There are also quantum USS schemes, first proposed by Gottesman and Chuang [19], in which security is derived from the laws of quantum physics. Lu and Feng [20] proposed a quantum USS scheme using quantum one-way functions, though it required a trusted authority (which they called an arbiter) to resolve disputes. Quantum USS schemes were first experimentally demonstrated by Clarke et al. [21]. While these early quantum schemes require long-term quantum memories (which are highly impractical to realise, effectively rendering these schemes unusable), the more recently proposed schemes do not [11, 22, 23]. Quantum USS schemes without quantum memories have also been experimentally demonstrated [24, 25]. Furthermore, these recent schemes and their experimental demonstrations use the already ripe technologies required for quantum key distribution [26].

1.2 Contributions

In this work, we propose an USS scheme which naturally extends unconditionally secure message authentication schemes. The main difference between an unconditionally secure message authentication code and an USS scheme is that signature schemes ensure the transferability of signed content, while authentication codes do not. We propose a simple method, similar to secret sharing [14], allowing unconditionally secure authentication codes to be transformed into USS schemes. Our method requires only minimal trust assumptions and fewer resources than previous USS schemes. We do not assume a trusted authority, nor the existence anonymous channels or authenticated broadcast channels. Instead, we only require participants to share short secret keys pairwise, and that the majority of participants are honest. Our contributions can be summarised as follows.

1. 1.

   We construct an USS scheme that, unlike prior schemes, does not rely on a trusted authority, anonymous channels or broadcast channels (Sect. 3).

2. 2.

   We prove information-theoretic security of our scheme against forging, repudiation, and non-transferability (Sect. 4).

3. 3.

   We compare our scheme with existing both classical and quantum USS schemes. The comparison shows that our new scheme has a number of unparalleled advantages over the previous schemes (Sect. 5).

The distribution stage of our scheme derives from the Generalised P2 protocol described in Ref. [27]. However, instead of participants distributing bits, in our scheme a sender shares with each of the remaining protocol participants (or recipients) a set of keys (hash functions) from a family of universal hash functions. This conceptual difference leads to vast efficiency improvements (see Sect. 5) as it allows the distribution stage to be performed only once for all possible future messages, as opposed to Generalised P2 in which the distribution stage is performed independently for each future message. This is because, in our scheme, a signature for a message is a vector of tags generated by applying the hash functions to the message. Our scheme can be viewed as an extension of MAC schemes, and therefore its practical implementation is straightforward and efficient.

We begin by formally defining an USS scheme.

Definition 1

([27]). An USS scheme \(\mathcal {Q}\) is an ordered set \(\{\mathcal {P}, \mathcal {M}, \varSigma , L,\) Gen, Sign, Ver\(\}\) where

• The set \(\mathcal {P} = \{P_0,P_1,\ldots ,P_{N}\}\), is the set containing the signer, \(P_0\), and the N potential receivers.

• \(\mathcal {M}\) is the set of possible messages.

• \(\varSigma \) is the set of possible signatures.

• Gen is the generation algorithm that gives rise to the functions Sign and Ver, used respectively to generate a signature and verify its validity. More precisely, the generation algorithm specifies the instructions for the communication that takes place in the distribution stage of the protocol. Based on the data obtained during the distribution stage, the generation algorithm instructs how to construct the functions Sign and Ver. The generation algorithm includes the option of outputting an instruction to abort the protocol.

• Sign\(:\mathcal {M} \rightarrow \varSigma \) is a deterministic function that takes a message \(m\in \mathcal {M}\) and outputs a signature \(\sigma \in \varSigma \).

• \(L = \{-1, 0, 1,\ldots , l_{\text {max}}\}\) is the set of possible verification levels of a signed message. A verification level l corresponds to the minimum number of times that a signed message can be transferred sequentially to other recipients. For a given protocol, the maximum number of sequential transfers that can be guaranteed is denoted by \(l_{\text {max}} \le N\).

• Ver\(:\mathcal {M} \times \varSigma \times \mathcal {P} \times L \rightarrow \{\textsf {True}, \textsf {False}\}\) is a deterministic function that takes a message m, a signature \(\sigma \), a participant \(P_i\) and a level l, and gives a boolean value depending on whether participant \(P_i\) accepts the signature as valid at the verification level l.

Definition 2

For a fixed participant, \(P_i\), at a fixed verification level, l, we denote the verification function as \(Ver _{i,l}(m,\sigma ) := Ver (m, \sigma , i, l)\).

Definition 3

A signature \(\sigma \) on a message m is i-acceptable if \(Ver _{i,0}(m, \sigma ) = True \).

The meaning of this definition is that participant \(P_i\) will accept \((m, \sigma )\) as a valid message-signature pair at the lowest verification level, \(l=0\).

Definition 4

An USS protocol \(\mathcal {Q}\) is correct if \(Ver _{i,l}(m,Sign (m)) = True \) for all \(m\in \mathcal {M}\), \(i\in \{1,\ldots ,N\}\), and \(l\in L\).

The signature protocol presented in this paper uses almost strongly universal hash function families.

Definition 5

([28]). Let \(\mathcal {F} = \{f: \mathcal {M} \rightarrow \mathcal {T} \}\) be a set of functions such that

1. 1.

   For any \(m\in \mathcal {M}\), \(t\in \mathcal {T}\), \(|\{f\in \mathcal {F}: f(m)=t\} | = |\mathcal {F}|/|\mathcal {T}|\).

2. 2.

   For any \(m_1,m_2\in \mathcal {M}\), \(t_1,t_2\in \mathcal {T}\), such that \(m_1\ne m_2\), \(|\{f\in \mathcal {F}:f(m_1)=t_1 \text { and } f(m_2) = t_2\}| \le \epsilon \frac{|\mathcal {F}|}{|\mathcal {T}|}\).

Then we say \(\mathcal {F}\) is \(\epsilon \)-\(\text {ASU}_2\). The domain of each function in \(\mathcal {F}\) is the message set, \(\mathcal {M}\), and the range is the set of tags, \(\mathcal {T}\).

The efficiency of our protocol relies on the ability to find an \(\epsilon \)-\(\text {ASU}_2\) set which is “small”.

Proposition 1

([29]). Let \(a := \log |\mathcal {M}|\) and \(b := \log |\mathcal {T}|\), be the size (in bits) of the message and tag respectively^{Footnote 2}. Let \(\mathcal {F}\) be an \(\epsilon \)-\(\text {ASU}_2\) set with \(\epsilon = 2/|\mathcal {T}|\). It is possible to specify an element of \(\mathcal {F}\) using y bits of data, where \(y = 3b + 2s\) and s is such that \(a = (b+s)(1+2^s)\).

The protocol contains \(N+1\) participants: a sender \(P_0\) and N receivers, \(P_1, \ldots , P_N\). Before the protocol, all participants agree on an \(\epsilon \)-\(\text {ASU}_2\) family of functions, \(\mathcal {F}\), where \(\epsilon = 2/|\mathcal {T}|\). The basic idea is for the sender to give each recipient a number of keys (hash functions) which will be used in future to authenticate a message by appending tags (hash values) to the message being sent. To check the signature, participants will apply their hash functions to the message, and check that the outcome matches the tags appended to the message by the sender. They will count the number of mismatches between their hash values and the appended tags, and only accept the message if they find less than a threshold amount of mismatches. However, if the sender were to know which hash functions are held by which participant, she could choose to append appropriate tags such that one recipient accepts the message while another does not, thereby breaking transferability of the scheme. To ensure transferability then, each recipient will group the hash functions received from the sender into N equally sized sets (of size k), and send one set (using secret channels) to each other recipient, keeping one for himself. The recipients test each of the N sets independently.

Transferability Levels. The situation is further complicated if the sender is in collusion with some of the recipients. In that case, the sender can have partial knowledge on who holds which keys, which forces us to define levels of transferability. Levels of transferability are perhaps confusing, so here we will try to highlight the need for such levels. Imagine that a sender is in collusion with a single recipient. In this case, the sender knows k of the keys held by honest recipient \(H_1\), and k of the keys held by honest recipient \(H_2\) - namely he knows the keys that were forwarded by his dishonest partner. For these known keys, the sender can attach tags that are correct for \(H_1\), and are incorrect for \(H_2\). Therefore, based on the number of colluding adversaries, the sender is able to bias the number of mismatches and the number of incorrect sets found between each honest party. To ensure transferability then, we require that the second verifier accepts a message as authentic even if each set contains a higher number of mismatches, and there are more invalid sets than found by the first verifier. Of course, to ensure security against forging, we cannot allow message-signature pairs containing too many errors to be accepted, and so there must be a cap on the highest level of mismatches acceptable by anyone. This leads to levels of verification, and a limit on the number of times a message is guaranteed to be transferable in sequence. For clarity, suppose then there are three levels of verification, \(l_0\), \(l_1\) and \(l_2\). Accepting a message at any of these levels means the message is guaranteed to have originated with the claimed sender. If \(H_1\) accepts a message at level \(l_2\) (the highest verification level, i.e. the level with the fewest errors in the signature), then he can forward it to \(H_2\), who will first try to accept the message at level \(l_2\). If he finds too many mismatches for the message to be accepted at level \(l_2\), he will instead try to verify at level \(l_1\). The protocol ensures that if \(H_1\) found the message to be valid at level \(l_2\), then \(H_2\) will find the message to be valid at level \(l_1\) with high probability. Therefore, with three verification levels, accepting the message at level \(l_2\) guarantees that the message can be transferred at least twice more. In practice, the message may be transferred many more times, since with honest participants it is highly likely that \(H_2\) will also find the message valid at level \(l_2\) and they will not need to move to the next verification level.

With this in mind, to begin the protocol we must first decide the maximum number of dishonest participants we want our protocol to be able to tolerate (which, as per the proceeding paragraph, will impact our verification levels). We set this to be \(\omega \) such that \(\omega < (N+1)/2\), since the protocol cannot be made secure using the majority vote dispute resolution process if more than half of the participants are dishonest. We also define the notation \(d_R := (\omega -1)/N\), where \(d_R\) is the maximum fraction of dishonest recipients possible when the sender is part of the coalition. As in previous protocols, there are two stages – the distribution stage and the messaging stage.

3.1 Distribution Stage

1. 1.

   The sender independently and uniformly at random selects (with replacement) \(N^2k\) functions from the set \(\mathcal {F}\), where k is a security parameter. We denote these by \((f_1, \ldots , f_{N^2k})\) and refer to them as the signature functions.

2. 2.

   To each recipient, \(P_i\), the sender uses secret classical channels to transmit the functions \((f_{(i-1)Nk+1}, \ldots , f_{iNk})\). This requires the sender to share Nky secret bits with each recipient.

3. 3.

   Each recipient \(P_i\) randomly splits the set \(\{(i-1)Nk+1, \ldots , iNk\}\) into N disjoint subsets of size k, which we denote \(R_{i\rightarrow 1},\ldots ,R_{i\rightarrow N}\). He then uses the secret classical channels to send \(R_{i\rightarrow j}\) and \(F_{i\rightarrow j} := \{f_{r} : r\in R_{i\rightarrow j}\}\) to recipient \(P_j\). To securely transmit the signature functions and their positions requires each pair of participants to share \(ky+k\log (Nk)\) secret bits. Following this symmetrisation, participant \(P_i\) holds the Nk functions given by \(F_i := \bigcup ^N_{j=1}F_{j\rightarrow i}\) and their positions given by \(R_i := \bigcup ^N_{j=1}R_{j\rightarrow i}\). We refer to these as the key functions and function positions of participant \(P_i\). The participants will use these to check a future signature declaration.

3.2 Messaging Stage

1. 1.

   To send message \(m\in \mathcal {M}\) to \(P_i\), the sender sends \((m, \textsf {Sig}_m)\), where

   

   Since the tags have size b, the signature is \(N^2kb\) bits in size.

2. 2.

   For message m and the signature elements \(t_r\) such that \(r\in R_{j\rightarrow i}\), participant \(P_i\) defines the following test

   $$\begin{aligned} T^m_{i,j,l} = {\left\{ \begin{array}{ll} 1 &{} \text {if } \sum _{r\in R_{j\rightarrow i}} g(t_r, f_r(m)) < s_lk \\ 0 &{} \text {otherwise} \end{array}\right. } \end{aligned}$$

   (1)

   where \(s_l\) is a fraction defined by the protocol, such that \(1/2> s_{-1}> s_{0}> \ldots > s_{l_{max}}\), and g(., .) is a function of two inputs which returns 0 if the inputs are equal, and 1 if the inputs are different. For each fixed l, if the outcome of the test is 1, we say that that test is passed at level l. Essentially, this test checks whether the signature matches what the recipient expects to receive, but allows for a certain number, \(s_lk\), of errors. For any verification level, the recipient will perform N such tests, one for each \(j=1,\ldots ,N\). Note that participant \(P_i\) knows all of the signature functions \(f_{i^\prime }\) with \(i^\prime \in R_i\) and so can perform all tests without interaction with any other participant.

3. 3.

   Participant \(P_i\) will accept \((m, \text {Sig}_m)\) as valid at level l if

   $$\begin{aligned} \sum ^N_{j=1} T^m_{i,j,l} > N\delta _l \end{aligned}$$

   (2)

   That is, participant \(P_i\) accepts the signature at level l if more than a fraction of \(\delta _l\) of the tests are passed, where \(\delta _l\) is a threshold given by \(\delta _l = 1/2 + (l+1)d_R\). Therefore, we see that each participant can accept/reject a message without interacting with any other recipient in the messaging stage.

4. 4.

   To forward a message, \(P_i\) simply forwards \((m, \text {Sig}_m)\) to the desired recipient.

Note that the number of dishonest participants the protocol is able to tolerate is directly related to the number of allowed transferability levels, according to the parameter \(\delta _l= 1/2 + (l+1)d_R\). Specifically, the maximum transferability level for a given number of dishonest participants is set by \( (l_{\text {max}}+1)d_R < 1/2. \)

Informally, USS schemes must provide the following security guarantees [18]:

1. 1.

   Unforgeability: Except with negligible probability, it should not be possible for an adversary to create a valid signature.

2. 2.

   Transferability: If a verifier accepts a signature, he should be confident that any other verifier would also accept the signature.

3. 3.

   Non-repudiation: Except with negligible probability, a signer should be unable to repudiate a legitimate signature that he has created.

Formal security definitions covering both quantum and classical USS schemes were first provided in Ref. [27]. For completeness, the definitions are reproduced in Appendix A. Below we prove that the scheme presented in Sect. 3 is secure against each type of dishonest behaviour. The security analysis for transferability and non-repudiation is similar to the one provided in Ref. [27], and as such it is presented in Appendix B.

Theorem 1

The protocol defined in Sect. 3 is secure against forging attempts. Letting \(H_2\) denote the binary entropy, we find

Proof

In order to forge, a coalition, C (which does not include the signer), with access to a single message-signature pair \((m, \text {Sig}_m)\), must output a distinct message-signature pair \((m^\prime , \text {Sig}_{m^\prime })\) that will be accepted (at any level \(l\ge 0\)) by a participant \(P_i \notin C\). We consider forging to be successful if the coalition can deceive any (i.e. at least one) honest participant.

It is easiest for the coalition to forge a message at the lowest verification level \(l=0\), so we consider this case in what follows. We assume that the coalition hold a valid message-signature pair \((m, \text {Sig}_m)\). We first restrict our attention to the coalition trying to deceive a fixed participant, and we will prove that this probability decays exponentially fast with the parameter k. We then use this to bound the general case where the target is not a fixed participant. Therefore, for now, we fix the recipient that the coalition wants to deceive to be \(P_i\notin C\).

To successfully forge, the coalition should output a message-signature pair, \((m^\prime , \text {Sig}_{m^\prime })\), that passes at least \(N\delta _0+1\) of the N tests that \(P_i\) performs in step 2 of the messaging stage, where \(m^\prime \ne m\) and \(\delta _0 = 1/2+d_R\), meaning \(N\delta _0+1 = N/2 + \omega \). By the definition of the protocol, the number of members in a coalition is at most \(\omega \). The coalition knows \(F_{j\rightarrow i}\) and \(R_{j\rightarrow i}\) for all \(P_j\in C\), so they can use this knowledge to trivially ensure that \(P_i\) passes \(\omega \) of the N tests performed at level \(l=0\). To pass the required \(N\delta _0+1\) tests, the coalition must pass a further N/2 tests out of the \(N -\omega \) remaining tests. The first step in computing this probability is to calculate the probability of the coalition being able to create a signature such that, for a single \(P_j\notin C\), \(T^{m^\prime }_{i,j,0} = 1\), i.e. the probability that the coalition can guess the tags forwarded from a single honest recipient \(P_j\) to \(P_i\).

Let \(p_t\) denote the probability that the coalition can force \(T^{m^\prime }_{i,j,0} = 1\), when they have no access to \((F_{j\rightarrow i}, R_{j\rightarrow i})\), i.e. \(p_t\) is the probability that the coalition can create a message-signature pair that will pass the test performed by \(P_i\) for the functions received from \(P_j\notin C\). As per the protocol, \(P_j\) sent \((F_{j\rightarrow i}, R_{j\rightarrow i})\) to \(P_i\) using secure channels and therefore \(F_{j\rightarrow i}\) and \(R_{j\rightarrow i}\) are unknown to the coalition. However, we assume the coalition possess a valid message-signature pair \((m, \text {Sig}_m)\), from which they can gain partial information on \((F_{j\rightarrow i}, R_{j\rightarrow i})\). Let us denote the k unknown functions in \(F_{j\rightarrow i}\) by \(u_1, \ldots , u_k\), and consider how the coalition might try to guess the value of \(t^\prime _1:=u_1(m^\prime )\), given \(t_1:=u_1(m)\), where \(m^\prime \ne m\).

Since \(\mathcal {F}\) is \(\epsilon \)-\(\text {ASU}_2\), using Definition 5 the coalition immediately knows \(u_1\) is in a set \(\mathcal {F}_1 \subset \mathcal {F}\) which has size \(|\mathcal {F}|/|\mathcal {T}|\). Upon receiving message \(m^\prime \), \(P_i\) will be expecting to find tag \(t^\prime _1\) in the signature. The coalition does not know \(t^\prime _1\) though, so the best they can do is to pick a random function in \(\mathcal {F}_1\), and hope that this function also maps \(m^\prime \) to the unknown \(t^\prime _1\). Again by Definition 5, the fraction of functions in \(\mathcal {F}_1\) that map \(m^\prime \) to \(t^\prime _1\) is at most \(2/|\mathcal {T}|\). Therefore, the probability that the coalition chooses a function that gives the correct tag for message \(m^\prime \) is \(2/|\mathcal {T}|\). This is independently true for each of the k unknown functions.

Let X be the random variable that counts how many incorrect tags the coalition declares. Then X follows a binomial distribution and we have

This decays exponentially fast with the parameter k. For example, it may be desirable to choose a small tag length in order to minimise the length of the signature. For \(|\mathcal {T}| = 4\) the signature is \(2N^2k\) bits in size and we have

Of course, choosing a larger tag size will increase security against forging. We will now give an upper bound for the probability of forging against a fixed participant. We start by computing the probability of passing at least one of the unknown \(N - \omega \) tests, which is given by

where we have used the fact that \(p_t \ll 1\) in the approximation.

The total number of honest recipients is \(N-\omega \) and for successful forging we only require that any one of them is deceived. Using the probability of forging against a fixed participant, we can bound the probability of deceiving any honest participant as

where we have used the fact that \(P(\text {FixedForge}) \ll 1\) in the approximation. We again note that this probability decays exponentially fast with parameter k, and thus the protocol is secure against forging attempts.

Theorem 2

The protocol defined in Sect. 3 is secure against non-transferability attempts. Defining \(N_p := [(N(1-d_R)][N(1-d_R)-1]/2\), we find

Proof

See Appendix B.

Theorem 3

The protocol defined in Sect. 3 is secure against repudiation attempts. We find

Proof

See Appendix B.

We note here that Eqs. (3), (8) and (9) are independent of the message size, meaning the signature size will be constant with respect to the size of the message being sent.

5.1 Classical USS Schemes

In this section we compare the performance of our protocol to the one proposed in [15] constructed using polynomials over a finite field. We will refer to this protocol as the HSZI scheme. Since the HSZI scheme allows all participants to send multiple messages, we extend our protocol to facilitate a comparison.

Consider the protocol described in Sect. 3, except that now each participant performs the distribution stage \(\psi \) times in the role of the sender. Trivially, this extended distribution stage allows all participants in the scheme to send up to \(\psi \) messages securely in the role of sender. We call this the extended protocol and all comparisons are made with reference to this scheme.

This extended scheme still enjoys a number of advantages when compared to the HSZI scheme. Namely,

1. 1.

   We require fewer trust assumptions – our scheme does not require any trusted authority.

2. 2.

   Security in our scheme can be tuned independently of message size, resulting in shorter signature lengths.

3. 3.

   Our scheme scales more efficiently (with respect to message size) in terms of the number of secret shared bits required by participants.

We will look at the second and third advantages in more detail. According to Theorem 3 of [15] (translated to our notation) the HSZI scheme has

where \(\varSigma \) is the set containing all possible signatures, \(\mathcal {S}\) is the set containing all possible signing algorithms, \(\mathcal {V}\) is the set containing all possible verification algorithms, q is the number of elements in the chosen finite field and \(\psi \) is the number of times the keys can be reused.

Signature Length. Let us first consider the size of the signature. Since the signature must be transmitted with the message, it is desirable to have as small a signature as possible. In the HSZI scheme the message m is an element of the finite field, meaning the size of the finite field must be at least as big as the size of the message set, i.e. \(q \ge |\mathcal {M}|\). Accordingly, in what follows we set \(q = |\mathcal {M}|\). Equation (10) implies that \((\omega +1)\log (|\mathcal {M}|)\) is the bit-length of the signature. The authors also show that the HSZI scheme provides security proportional to \(1/|\mathcal {M}|\).

Immediately we see that both the size of the signature and the security level depend on the size of the message to be sent. On the other hand, in our scheme the signature length is \(2N^2k\) bits, regardless of the message length. The security level of our scheme depends on the parameter k, but is independent of the length of the message being signed. This allows our scheme to bypass the optimality results presented in Ref. [15]. Specifically, the authors show that the signature generated by the HSZI scheme is optimally small for a given security level. By decoupling the security level from the size of the message being sent, we are able to generate smaller signatures while maintaining security.

Secret Key Requirements. We now consider the number of secret shared bits required to securely distribute the signing/verification keys. In the HSZI scheme, to secretly send the signing and verification keys to all participants, the trusted authority must hold

secret shared bits with each participant (as implied by Eq. (10)).

For the hash scheme, each recipient must share Nky secret bits with the sender (to receive the signature functions), and \(ky+k\log (Nk)\) with every other recipient (to forward on a selection of the key functions and their positions). For the extended protocol, where the distribution stage is performed \(\psi \) times for each participant acting as sender, each participant must share: (i) Nky secret bits with each of the N recipients for the \(\psi \) rounds in which he is the sender; and (ii) Nky bits with the sender and \(ky +k\log (Nk))\) secret bits with each of the \((N-1)\) other recipients for each of the \(N\psi \) rounds when he is not the sender. This is a total of

secret shared bits per recipient. The second equality follows using Proposition 1 with \(b=2\). The last equality follows using the Lambert W function to find a leading order approximation for s when s is large [30]. The results are summarised in Table 1 below.

The table shows that the signature length in our scheme is constant with respect to the size of the message to be signed. On the other hand, the signature length in the HSZI scheme increases linearly with the bit-length of the message to be signed. Similarly, the secret shared key required by our scheme increases logarithmically with the bit-length of the message, whereas the increase in the HSZI scheme is linear in the bit-length of the message.

The fact that our scheme scales unfavourably with respect to the number of participants is due to the lack of a trusted authority, meaning participants must perform the pairwise exchange process. As discussed below, this \(N^2\) scaling can be removed from the hash scheme by introducing a trusted authority.

Disadvantages. Due to the inclusion of a trusted authority, the HSZI scheme enjoys a number of advantages over our scheme. These are:

1. 1.

   Pairwise secret shared keys between all participants are not required by the HSZI scheme. Instead, each participant only needs a shared secret key with the trusted authority. This means that the HSZI scheme scales favourably with respect to the number of protocol participants.

2. 2.

   Participants in the HSZI scheme are able to enter the protocol even after the distribution stage. The new participant only needs to communicate with the trusted authority to join.

3. 3.

   The HSZI protocol has unlimited transferability, whereas our scheme can only guarantee transferability a finite number of times.

While these advantages are significant, they are only possible due to the existence of a trusted authority – an additional trust assumption not present in our scheme. Our scheme could easily be modified to include a trusted authority, in which case it would achieve the same three benefits above, as well as being significantly more efficient.

A trusted authority could be included into our scheme as follows. In the distribution stage, the signer would send Nk functions to the trusted authority, where N is an arbitrarily large number chosen to be the maximum number of participants able to verify the senders signature. When the sender wants to send a signed message, the trusted authority randomly (and secretly) sends k of the Nk functions to the recipient. Recipients could either obtain their k functions at the start of the protocol (i.e. have a distribution stage), or simply request the functions from the trusted authority as and when needed. Security against forging would follow as before from the properties of \(\epsilon \)-\(\text {ASU}_2\) sets, while security against repudiation would come from the fact that the trusted authority distributes the functions out at random, so each honest participant would have the same expected number of mismatches with any signature declaration.

5.2 Quantum USS Schemes

A central motivating factor in the study of quantum USS schemes was that they seemed to require fewer resources than classical USS schemes. This benefit came at a cost, and all quantum USS schemes proposed have been much less efficient than classical USS schemes^{Footnote 3}.

Until now, this decrease in efficiency had been justified by the fact that quantum protocols do not require broadcast channels, anonymous channels, or a trusted authority. Instead, the only assumption is that a limited number of the participants are dishonest, and that the participants all share a number of secret bits, which could be expanded via QKD.

However, the classical scheme presented in this paper makes the same trust assumptions as quantum USS schemes, and still achieves two key advantages. Namely, our scheme generates much shorter signatures and requires significantly fewer secret shared bits. One of the reasons for the increase in efficiency is that, so far, all quantum USS schemes have been of the Lamport-type, in which the distribution stage must be performed for every possible future message. On the other hand, our scheme does not follow this blueprint, and instead requires users to share hash functions in the distribution stage, which can be used to sign any future message (up to some chosen size).

Efficiency. Here we consider the signature length and secret shared bit requirements of our scheme, and compare it to Generalised P2, the most efficient realisable quantum USS scheme. We assume that a group of \(N+1=51\) participants are trying to sign a 1Mb message to a security level of \(10^{-10}\). For comparing to quantum USS schemes, rather than considering the extended protocol, we assume the participants perform the regular distribution stage as specified in Sect. 3, i.e. there is a designated sender and only one message to be sent. In order to have \(l_{\text {max}} = 1\), we assume that at most \(\omega = 13\) participants are dishonest meaning \(d_R = 0.24\). We also choose \(s_{-1} = 0.41\), \(s_0 = 0.21\) and \(s_1 = 0.01\) so as to have even gaps between the verification levels^{Footnote 4}.

With these parameters, Eqs. (3), (8) and (9) show that \(k=1700\) is necessary for the message to be secure to a level of \(10^{-10}\). Given this value of k, the signature length is \(8.50\,\times \, 10^6\) bits and each recipient must hold a total of \(7.69\,\times \, 10^6\) secret shared bits (shared over the different participants).

When considering Generalised P2, we assume the sender signs the 1 Mb message bit-by-bit, each to a level of \(10^{-10}\). Overall this gives a lower security level than signing the message as a whole, but makes the protocol significantly more efficient^{Footnote 5}. Equations (24), (29) and (31) of Ref. [27] can be used to show that the resulting signature length is \(4.25\times 10^{12}\), and that each recipient must hold a total of \(5.96\times 10^{12}\) secret shared bits (shared over the different participants).

This example shows just how powerful our new scheme is when compared to existing quantum schemes – even for a relatively small message, our scheme is 6 orders of magnitude more efficient both in terms of signature size and secret shared bit requirements. Our results show that quantum USS schemes must either be drastically improved, or find a new source of motivation if they are to remain competitive.