23 research outputs found

    Making Code Voting Secure against Insider Threats using Unconditionally Secure MIX Schemes and Human PSMT Protocols

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    Code voting was introduced by Chaum as a solution for using a possibly infected-by-malware device to cast a vote in an electronic voting application. Chaum's work on code voting assumed voting codes are physically delivered to voters using the mail system, implicitly requiring to trust the mail system. This is not necessarily a valid assumption to make - especially if the mail system cannot be trusted. When conspiring with the recipient of the cast ballots, privacy is broken. It is clear to the public that when it comes to privacy, computers and "secure" communication over the Internet cannot fully be trusted. This emphasizes the importance of using: (1) Unconditional security for secure network communication. (2) Reduce reliance on untrusted computers. In this paper we explore how to remove the mail system trust assumption in code voting. We use PSMT protocols (SCN 2012) where with the help of visual aids, humans can carry out mod10\mod 10 addition correctly with a 99\% degree of accuracy. We introduce an unconditionally secure MIX based on the combinatorics of set systems. Given that end users of our proposed voting scheme construction are humans we \emph{cannot use} classical Secure Multi Party Computation protocols. Our solutions are for both single and multi-seat elections achieving: \begin{enumerate}[i)] \item An anonymous and perfectly secure communication network secure against a tt-bounded passive adversary used to deliver voting, \item The end step of the protocol can be handled by a human to evade the threat of malware. \end{enumerate} We do not focus on active adversaries

    Shorter lattice-based zero-knowledge proofs for the correctness of a shuffle

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    In an electronic voting procedure, mixing networks are used to ensure anonymity of the casted votes. Each node of the network re-encrypts the input list of ciphertexts and randomly permutes it in a process named shuffle, and must prove (in zero-knowledge) that the process was applied honestly. To maintain security of such a process in a post-quantum scenario, new proofs are based on different mathematical assumptions, such as lattice-based problems. Nonetheless, the best lattice-based protocols to ensure verifiable shuffling have linear communication complexity on N, the number of shuffled ciphertexts. In this paper we propose the first sub-linear (on N) post-quantum zero-knowledge argument for the correctness of a shuffle, for which we have mainly used two ideas: arithmetic circuit satisfiability results from Baum et al. (CRYPTO'2018) and Beneš networks to model a permutation of N elements. The achieved communication complexity of our protocol with respect to N is O(v(N)log^2(N)), but we will also highlight its dependency on other important parameters of the underlying lattice ingredients.The work is partially supported by the Spanish Ministerio de Ciencia e Innovaci´on (MICINN), under Project PID2019-109379RB-I00 and by the European Union PROMETHEUS project (Horizon 2020 Research and Innovation Program, grant 780701). Authors thank Tjerand Silde for pointing out an incorrect set of parameters (Section 4.1) that we had proposed in a previous version of the manuscript.Postprint (author's final draft

    Lattice-Based proof of a shuffle

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    In this paper we present the first fully post-quantum proof of a shuffle for RLWE encryption schemes. Shuffles are commonly used to construct mixing networks (mix-nets), a key element to ensure anonymity in many applications such as electronic voting systems. They should preserve anonymity even against an attack using quantum computers in order to guarantee long-term privacy. The proof presented in this paper is built over RLWE commitments which are perfectly binding and computationally hiding under the RLWE assumption, thus achieving security in a post-quantum scenario. Furthermore we provide a new definition for a secure mixing node (mix-node) and prove that our construction satisfies this definition.Peer ReviewedPostprint (author's final draft

    Cryptanalysis of a Universally Verifiable Efficient Re-encryption Mixnet

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    We study the heuristically secure mix-net proposed by Puiggalí and Guasch (EVOTE 2010). We present practical attacks on both correctness and privacy for some sets of parameters of the scheme. Although our attacks only allow us to replace a few inputs, or to break the privacy of a few voters, this shows that the scheme can not be proven secure

    Decryption phase in Norwegian electronic voting

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    We describe an efficient and secure decryption protocol to the Norwegian Internet voting project. We first adapt Groth’s shuffle-decryption from 2010 to our purpose, and we prove all security properties in the random oracle model. We then describe the complete decryption algorithm, and prove that it maintains the security of the rest of the protocol

    Shorter Lattice-based Zero-Knowledge Proofs for the Correctness of a Shuffle

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    In an electronic voting procedure, mixing networks are used to ensure anonymity of the casted votes. Each node of the network re-encrypts the input list of ciphertexts and randomly permutes it in a process named shuffle, and must prove (in zero-knowledge) that the process was applied honestly. To maintain security of such a process in a post-quantum scenario, new proofs are based on different mathematical assumptions, such as lattice-based problems. Nonetheless, the best lattice-based protocols to ensure verifiable shuffling have linear communication complexity on NN, the number of shuffled ciphertexts. In this paper we propose the first sub-linear (on NN) post-quantum zero-knowledge argument for the correctness of a shuffle, for which we have mainly used two ideas: arithmetic circuit satisfiability results from Baum \textit{et al.} (CRYPTO\u272018) and Benesˇ\check{\text{s}} networks to model a permutation of NN elements. The achieved communication complexity of our protocol with respect to NN is O(Nlog2(N))\mathcal{O}(\sqrt{N}\log^2(N)), but we will also highlight its dependency on other important parameters of the underlying lattice ingredients

    Zero-Knowledge Password Policy Check from Lattices

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    Passwords are ubiquitous and most commonly used to authenticate users when logging into online services. Using high entropy passwords is critical to prevent unauthorized access and password policies emerged to enforce this requirement on passwords. However, with current methods of password storage, poor practices and server breaches have leaked many passwords to the public. To protect one's sensitive information in case of such events, passwords should be hidden from servers. Verifier-based password authenticated key exchange, proposed by Bellovin and Merrit (IEEE S\&P, 1992), allows authenticated secure channels to be established with a hash of a password (verifier). Unfortunately, this restricts password policies as passwords cannot be checked from their verifier. To address this issue, Kiefer and Manulis (ESORICS 2014) proposed zero-knowledge password policy check (ZKPPC). A ZKPPC protocol allows users to prove in zero knowledge that a hash of the user's password satisfies the password policy required by the server. Unfortunately, their proposal is not quantum resistant with the use of discrete logarithm-based cryptographic tools and there are currently no other viable alternatives. In this work, we construct the first post-quantum ZKPPC using lattice-based tools. To this end, we introduce a new randomised password hashing scheme for ASCII-based passwords and design an accompanying zero-knowledge protocol for policy compliance. Interestingly, our proposal does not follow the framework established by Kiefer and Manulis and offers an alternate construction without homomorphic commitments. Although our protocol is not ready to be used in practice, we think it is an important first step towards a quantum-resistant privacy-preserving password-based authentication and key exchange system

    Secure and efficient multiparty private set intersection cardinality

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    17 USC 105 interim-entered record; under review.The article of record as published may be found at http://dx.doi.org/10.3934/amc.2020071In the field of privacy preserving protocols, Private Set Intersection (PSI) plays an important role. In most of the cases, PSI allows two parties to securely determine the intersection of their private input sets, and no other information. In this paper, employing a Bloom filter, we propose a Multiparty Private Set Intersection Cardinality (MPSI-CA), where the number of participants in PSI is not limited to two. The security of our scheme is achieved in the standard model under the Decisional Diffie-Hellman (DDH) assumption against semi-honest adversaries. Our scheme is flexible in the sense that set size of one participant is independent from that of the others. We consider the number of modular exponentiations in order to determine computational complexity. In our construction, communication and computation overheads of each participant is O(vmaxk) except that the complexity of the designated party is O(v1), where vmax is the maximum set size, v1 denotes the set size of the designated party and k is a security parameter. Particularly, our MSPI-CA is the first that incurs linear complexity in terms of set size, namely O(nvmaxk), where n is the number of participants. Further, we extend our MPSI-CA to MPSI retaining all the security attributes and other properties. As far as we are aware of, there is no other MPSI so far where individual computational cost of each participant is independent of the number of participants. Unlike MPSI-CA, our MPSI does not require any kind of broadcast channel as it uses star network topology in the sense that a designated party communicates with everyone else

    Secure and Efficient Multiparty Private Set Intersection Cardinality

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    The article of record as published may be found at http://dx.doi.org/10.3934/amc.2020071In the field of privacy preserving protocols, Private Set Intersection (PSI) plays an important role. In most of the cases, PSI allows two parties to securely determine the intersection of their private input sets, and no other information. In this paper, employing a Bloom filter, we propose a Multiparty Private Set Intersection Cardinality (MPSI-CA), where the number of participants in PSI is not limited to two. The security of our scheme is achieved in the standard model under the Decisional Diffie-Hellman (DDH) assumption against semi-honest adversaries. Our scheme is flexible in the sense that set size of one participant is independent from that of the others. We consider the number of modular exponentiations in order to determine computational complexity. In our construction, communication and computation overheads of each participant is O(v max k) except that the complexity of the designated party is O(v1), where v max is the maximum set size, v1 denotes the set size of the designated party and k is a security parameter. Particularly, our MSPI-CA is the first that incurs linear complexity in terms of set size, namely O(nv max k), where n is the number of participants. Further, we extend our MPSI-CA to MPSI retaining all the security attributes and other properties. As far as we are aware of, there is no other MPSI so far where individual computational cost of each participant is independent of the number of participants. Unlike MPSI-CA, our MPSI does not require any kind of broadcast channel as it uses star network topology in the sense that a designated party communicates with everyone else

    A Publicly-Veriable Mix-net with Everlasting Privacy Towards Observers

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    In this paper we present a novel, publicly verifiable mixing scheme which has everlasting privacy towards observers: all the information published on the bulletin board by the mixes (audit information etc) reveals no information about the identity of any of the messages published. The correctness of the mixing process is statistical: even if all authorities conspire, they cannot change the contents of any message without being detected with overwhelming probability. We accomplish this by encoding the messages submitted using so-called Pedersen commitments. Decoding (opening) these is possible because we create a parallel mix-net run by the same mixes to which the public has no access. This private mix-net uses the same permutations as the public one, but uses homomorphic encryption, which is used to send auxiliary information (messages, decommitment values) through the mix-net to allow decoding
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