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Procedia Computer Science

New variant for Learning with Errors Problem

Xuyang Wang, Aiqun Hu, Hao Fang

Published Jan 1, 2018• 3 citations
Publisher

Abstract

The Learning with Errors (LWE) problem is a special average-case lattice problem, which has proved to be as hard as worst-case lattice problems. By this property, it has become the cornerstones for a series of cryptographic applications under the security assumption of worst-case lattice problems. However, the efficiency of these applications are not high. Therefore, how to improve the efficiency of cryptographic applications based on LWE is an urgent problem to be solved. In this paper, a new variant of LWE is proposed. By using trapdoor composed by lattice-based matrix and its dual orthogonal matrix, we construct a more efficient public key encryption (PKE) scheme based on the variant. Furthermore, by the hardness of the variant problem, we prove the new PKE scheme is chosen plaintext attack (CPA) secure. At last, we analyze the homomorphism property of the new PKE scheme.

DOI
10.1016/j.procs.2018.04.243

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The Learning with Errors (LWE) problem is a special average-case lattice problem, which has proved to be as hard as worst-case lattice problems. By this property, it has become the cornerstones for a series of cryptographic applications under the security assumption of worst-case lattice problems. However, the efficiency of these applications are not high. Therefore, how to improve the efficiency of cryptographic applications based on LWE is an urgent problem to be solved. In this paper, a new variant of LWE is proposed. By using trapdoor composed by lattice-based matrix and its dual orthogonal matrix, we construct a more efficient public key encryption (PKE) scheme based on the variant. Furthermore, by the hardness of the variant problem, we prove the new PKE scheme is chosen plaintext attack (CPA) secure. At last, we analyze the homomorphism property of the new PKE scheme.
Since its proposal by Regev in 2005, the Learning With Errors (LWE) problem was used as the underlying problem for a great variety of schemes. Its applications are many-fold, reaching from basic and highly practical primitives like key exchange, public-key encryption, and signature schemes to very advanced solutions like fully homomorphic encryption, group signatures, and identity based encryption. One of the underlying reasons for this fertility is the flexibility with that LWE can be instantiated. Unfortunately, this comes at a cost: It makes selecting parameters for cryptographic applications complicated. When selecting parameters for a new LWE-based primitive, a researcher has to take the influence of several parameters on the efficiency of the scheme and the runtime of a variety of attacks into consideration. In fact, the missing trust in the concrete hardness of LWE is one of the main problems to overcome to bring LWE-based schemes to practice. This thesis aims at closing the gap between the theoretical knowledge of the hardness of LWE, and the concrete problem of selecting parameters for an LWE-based scheme. To this end, we analyze the existing methods to estimate the hardness of LWE, and introduce new estimation techniques where necessary. Afterwards, we show how to transfer this knowledge into instantiations that are at the same time secure and efficient. We show this process on three examples: - A highly optimized public-key encryption scheme for embedded devices that is based on a variant of Ring-LWE. - A practical signature scheme that served as the foundation of one of the best lattice-based signature schemes based on standard lattices. - An advanced public-key encryption scheme that enjoys the unique property of natural double hardness based on LWE instances similar to those used for fully homomorphic encryption.
Abstract: Using the Bonsai trees primitive and Gentry’s CPA-secure (chosen-plaintext attack) public-key encryption (PKE) scheme, we propose an efficient chosen-ciphtertext secure PKE scheme over lattice. If the decision variant of the learning with errors (LWE) problem is hard and the one-time signature used in this scheme is strong unforgeable, the proposed PKE scheme is indistinguishable against the adaptive chosen-ciphtertext attack (IND-CCA2). One of the characters for this scheme is that, before any encryption operation, the encryption algorithm uses a new choice rule to fix the public parameter matrixes used in the encryption operation. With the help of this new choice rule, we can achieve the chosen-ciphtertext security with much shorter the public key size in contrast to the lattice-based encryption scheme proposed in STOC’09 by Peikert. Moreover, as a CCA-secure PKE scheme, the message-tociphtertext expanse factor of this scheme which is controlled efficiently is nearly closed to the message-to-ciphtertext expanse factor of Gentry’s scheme which is CPA secure. Due to the quantum intractability of the LWE problem on which the scheme is based, the proposed PKE scheme is secure even in quantum-era.
Due to the threat of future quantum computers, it is necessary to develop cryptographic schemes that are resistant to quantum attacks. Lattice based cryptographic schemes have resistance to quantum attacks and security under worst-case assumptions that are difficult to solve. To solve the problems of large size of public and private keys, low encryption efficiency, and large noise growth in identity based encryption schemes, an adaptive secure identity based all homomorphic encryption scheme based on Learning with Errors (LWE) is constructed. This scheme uses {0,1} matrices to store plaintext, significantly improving encryption efficiency compared to single bit encryption schemes. It uses key conversion technology to achieve homomorphic operations and modulus conversion technology to reduce noise. It also converts IDs into bit sequences to construct an encryption scheme for adaptive security. Compared to selective security that only provides security guarantees for specific types of attacks, adaptive security is suitable for general scenarios, providing higher security guarantees and being able to cope with more challenging attack situations. It has been proven through the LWE problem that the security of our proposed scheme satisfies IND-ID-CPA. Finally, the experimental results indicate that this scheme introduces less noise, and has higher encryption efficiency and performance.
We introduce Learning with Correlated Errors (LCE), a new lattice-based computationalhardness assumption in which observed samples carry noise generated by a low-rank linearcorrelation structure. Formally, given samples (A, b = As + Ce0 + e1 mod q), whereC ∈ Zm×rq is a publicly known correlation matrix and e0, e1 are short Gaussian vectors, thetask is to recover the secret s.Unlike LWE, the noise in LCE is globally correlated: up to r independent root noise sourcesdrive m observations simultaneously. Unlike the recent hybrid sparse-small assumptions ofGhosal et al. [GJL+25], LCE preserves a lattice structure that enables a reduction from theLearning with Errors (LWE) problem, thereby inheriting its worst-case hardness guarantees.We prove: (1) Worst-case hardness via reduction: We give a polynomial-timereduction from Decision-LWE to Decision-LCE, establishing that LCE is at least as hardas LWE and thereby inheriting its worst-case lattice hardness guarantees. (2) Search-to-Decision reduction: Search-LCE and Decision-LCE are polynomial-time equivalent (viaan explicit n-hybrid argument). (3) Cryptographic construction: an IND-CPA-securepublic-key encryption scheme from Decision-LCE. (4) Quantum resistance: by composingour reduction with Regev’s quantum reduction, we show that LCE resists known quantumattacks, with quantum lattice sieving requiring an estimated 20.265n quantum gates (matchingthe estimated cost for standard LWE).LCE provides a new, independently motivated hardness foundation for post-quantumcryptography and adds meaningful assumption diversity beyond LWE and LPN.
Abstract. In this paper we propose the first provably secure public key encryption scheme based on the Learning with Errors (LWE) problem, in which secrets and errors are sampled uniformly at random from a relatively small set rather than from the commonly used discrete Gaussian distribution. Using a uniform distribution, instead of a Gaussian, has the potential of improving computational efficiency a great deal due to its simplicity, thus making the scheme attractive for use in practice. At the same time our scheme features the strong security guarantee of being based on the hardness of worst-case lattice problems. After presenting the construction of our scheme we prove its security and propose asymptotic parameters. Finally, we compare our scheme on several measures to one of the most efficient LWE-based encryption schemes with Gaussian noise. We show that the expected efficiency improvement is debunked, due to the large blow-up of the parameter sets involved.