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A simple latticebased PKE scheme
SpringerPlus volume 5, Article number: 1627 (2016)
Abstract
In this paper, we first present a new latticebased PKE scheme on SIS, proving that it achieves CPAsecurity under DBiISIS assumption. Compared to some latticebased schemes, ours has some advantages and is quite efficient as well as great simplicity. Similarly, we give a latticebased PKE with multiple bits which is CPA secure under DBiISIS assumption. We hope that our contributions help to pave the way for the development of latticebased PKEs in the future work.
Background
Nowadays, with the development of technologies, such as cloud computing and quantum information technology, quantum computing power becomes stronger and stronger. As a result, traditional cryptosystems, e.g numbertheoretic cryptosystems, could be almost broken by quantum computers. To handle this case, lattice has come up as a powerful technique to resist quantum computers and been gradually used to construct cryptography primitives which can be against quantum attack. Maybe latticebased cryptography will be a replacement to numbertheoretic cryptography in cryptography field.
Over the last decades, lattice has emerged as a very attractive foundation for cryptography. The appeal of latticebased primitives stems from the fact that their security can often be based on worstcase hard problems such as shortest vector problem (SVP) (Micciancio 2011; Regev 2004), closest vector problem (CVP) (Micciancio 2011; Regev 2004), approximate the shortest independent vectors problem SIVP (one variant of SVP) (Gentry et al. 2008; Micciancio 2011; Regev 2004) and the SVP GapSVP (in its decision version) (Gentry et al. 2008; Micciancio 2011; Regev 2004) to within small polynomial (in the dimension n) factors, because they remain secure even against quantum computers.
On lattice, there were two basic averagecase problems (Micciancio and Regev 2007) that had been shown to enjoy worstcase hardness guarantee: the learning with error (LWE) problem (Regev 2005, 2009; Applebaum et al. 2009) and the small integer solution (SIS) problem (Micciancio and Regev 2007). More recently, Regev (2005) defined the LWE problem and proved that it enjoyed similar worstcase hardness under a quantum reduction. The latter was first proposed by Ajtai (1996), who showed that it was at least as hard as approximating several worstcase lattice problems, such as the decision version of the SVP, known as GapSVP (Gentry et al. 2008) to within a polynomial factor in the lattice dimension. The SIS problem (Micciancio and Regev 2007) may be seen as a variant of subsetsum over a particular additive group. Virtually, a great deal of recent latticebased cryptographic schemes were based directly upon the above two natural averagecase problems (Micciancio and Regev 2007), such as Regev (2005), Gentry et al. (2008), Regev (2009), Applebaum et al. (2009), Lindner and Peikert (2011), Orsini and Smart (2015), Hiromasa et al. (2015), Lyubashevsky and Wichs (2015), Gentry et al. (2010), Peikert et al. (2008), Peikert (2009), Garg et al. (2013).
Compared with traditional theorybased cryptosystems, such as RSA, ECC, the latticebased cryptographic systems mainly referred to only simple linear operation, matrixvector multiplication, modular addition, modular multiplication of small integers. Such simple algebraic structure determined the small computational complexity, small computation operation, higher operating speed that could effectively improve data encryption and decryption speed. Such advantages made the latticebased cryptosystems be famous. On the other hand, latticebased cryptosystems had some disadvantages. For example, they occupied large space size, such as long public key, long secret key, large ciphertext expansion, et al, which greatly limited their practical applications. However, these defects did not limit the development of the latticebased cryptosystems. Up to date, there existed a lot of latticebased cryptographic schemes: Regev (2005, 2009), Gentry et al. (2008), Applebaum et al. (2009), Lindner and Peikert (2011), Orsini and Smart (2015), Hiromasa et al. (2015), Lyubashevsky and Wichs (2015), Gentry et al. (2010), Peikert et al. (2008), Peikert (2009), Garg et al. (2013) etc. In addition, in 2012, Ding and Lin (2012) first constructed a latticebased key exchange (KE) from LWE problem and first connected KE with lattice together. Li et al. (2013) proposed two KEs from the LWE problem and the SIS problem. The works of Albrecht et al. (2016), Cheon et al. (2016) and Ducas et al. (2014) presented some problems over NTRU lattice (Hoffstein et al. 1998). Zhang et al. (2015) first proposed a KE from ideal lattice. The works of Becker et al. (2016) and Laarhoven (2015) proposed some algorithms to solve hard problems, e.g. SVP, which were new breakthrough on lattice. Alkim et al. (2015) and Bos et al. (2015) proposed latticebased KEs. The works of Lindner and Peikert (2011) and Poppelmann and Guneysu (2013) proposed key encryption without key encryption mechanism on the LWE problem; but Peikert (2014) proposed latticebased key encryption with key encryption mechanism. In 2014, Wang et al. (2014) first constructed a latticebased KE relied on BiISIS problem; et al.
Publickey encryption (PKE) was one of the most fundamental primitives in cryptography. The first security notion for PKE was indistinguishability of encryptions under chosenplaintext attacks (indistinguishability against chosenplaintext attacks) (INDCPA or CPA) (Stinson 2005; Katz and Lindell 2007), also known as semantic security (Stinson 2005; Katz and Lindell 2007). Although CPA security was not stronger than CCA security (Stinson 2005; Katz and Lindell 2007), the research on the cryptosystems which were still CPA secure was significant. For example, it could become a fundamental of the cryptosystems which were CCAsecure (Stinson 2005; Katz and Lindell 2007). In recent years, construction of the latticebased PKEs had attracted a lot of attention, too. One of the main fields of interest in cryptography was the design and analysis of PKE schemes that were CPA security. However, there were only a handful of known latticebased PKEs that enjoyed CPA security (Stinson 2005; Katz and Lindell 2007): Regev et al. proposed a latticebased PKE (Regev 2005) which was CPAsecure; In 2008 and in 2009, Peikert et al. proposed two latticebased PKEs which were against CPA (Peikert et al. 2008), respectively; Gentry et al. proposed a “dual” scheme (Gentry et al. 2008) which was CPAsecure; Gentry et al. presented a BGNtype scheme (Gentry et al. 2010) enjoying CPA security; Lindner and Peikert (2011) proposed a latticebased PKE with better key size. These above latticebased PKEs achieved CPA security.
In 2008, Gentry et al. (2008) first presented the definition of Preimage Sampleable Functions, gave the specific structure of the general Inhomogeneous Small Solution (ISIS) hard problem and showed that to solve the averagecase ISIS problem (Micciancio and Regev 2007) was at least as hard as to quantumly solve the worstcase hard approximation SIVP problems (Gentry et al. 2008; Micciancio 2011). There were a few of PKE schemes based on SIS (Gentry et al. 2008; Lyubashevsky and Wichs 2015).
In 2014, Wang et al. (2014) first proposed Bilateral Inhomogeneous small integer solution problem (BiISIS) on lattice, computational BiISIS (CBiISIS) assumption and decisional BiISIS (DBiISIS) assumption. Meanwhile, they constructed a latticebased KE which relied on DBiISIS problem in case of worstcase hardness of lattice problem. But until now, there is no latticebased PKE on BiISIS (Wang et al. 2014). To deal with the problem, we build a PKE on previous works of Wang et al. (2014) and Regev (2005). We take the first step in this direction by constructing a latticebased PKE on BiISIS (Wang et al. 2014) and proving its CPA security (Stinson 2005; Katz and Lindell 2007). In addition, we give an extended structure PKE of matrix form with multiple bits that is CPA secure (Stinson 2005; Katz and Lindell 2007).
This paper is organized as follows. “Preliminaries” section contains a few preliminaries necessary for our constructions such as definitions and properties related to lattice and PKE schemes. In “A latticebased PKE scheme” section, we determine our latticebased PKEs on DBiISIS problem, prove its security against CPA, draw detailed comparisons with related work in the literature and gives a PKE of matrix form which is CPAsecure. In “Conclusion” section, we state conclusion and open problems. Acknowledgements section gives the acknowledgement.
Preliminaries
Notations Assume that n is the the main security parameter in this paper. Bold lowercase letters denote vectors in the column form, e.g. x. Bold capital letters denote matrix, e.g. A, and the transposition of A is \({\mathbf{A}}^t\). The Euclidean (\(l_2\)) norm for vectors, denoted by \(\parallel {\mathbf{x}}\parallel_2=\sqrt{\sum_i {x_i^2}}\), is used. That choosing elements from the set X uniformly at random is denoted by \(x_1,\ldots ,x_k\leftarrow_R X\).
Hard random integer lattice
Here mainly describe some definitions and properties on lattice (Regev 2005, 2009).
Definition 1
(Regev 2005) Given k linearly independent column vectors \({\mathbf{b}}_1,\ldots ,{\mathbf{b}}_k \in {\mathbb{R}}^n\), let \(B=[{\mathbf{b}}_1,\ldots ,{\mathbf{b}}_k]\in R^{n\times k}\) with the basis column vectors, the ndimensional lattice \(\Lambda \) with rank\((\Lambda )=k\) in n dimensional real space \({\mathbb{R}}^n\) generated by
where Bx is the usual matrixvector multiplication.
Definition 2
(Regev 2005) For integers \(q,\,m>n\), (e.g. \(m={O}(n\log n)\), \(q=O (n^2))\), \({\mathbf{A}} \in Z_q^{n\times m}\), rank\((A)=n\), defined:
The most wellknown basic hard computational lattice problems are SVP (Gentry et al. 2008; Micciancio 2011) and CVP (Gentry et al. 2008; Micciancio 2011). And the worstcase problems underlying ocryptosystem are to approximate SIVP or GapSVP (Gentry et al. 2008; Micciancio 2011).
Definition 3
(SIVP) (Micciancio 2011) Given a lattice basis \(B\in Z^{n\times n}\), find n linearly independent lattice vectors \(S=[s_1, \ldots, s_n ]\) (where \(s_i\in {\mathcal{L}}(B)\) for all i) minimizing the quantity \(\Vert S\Vert = max_i \Vert s_i \Vert \).
The approximation variants of these problems: \(GapSVP_\gamma \)(Gentry et al. 2008) and \(SIVP_\gamma \) (Gentry et al. 2008), which are extension of SVP [\(SVP_\gamma \) (Gentry et al. 2008)], are two standard (worstcase hard) approximation problems on lattices, where \(\gamma =\gamma (n)\) denotes the approximation factor as a function of the dimension.
Definition 4
(SVP (Decision Version): \(GapSVP_\gamma \)) (Gentry et al. 2008) An input to \(GapSVP_\gamma \) is basis B of a fullrank \(n\)demensional lattice. It is a YES instance if \(\lambda_1({\mathcal{L}}(B))\le 1\), and is a NO instance if \(\lambda_1({\mathcal{L}}(B))>\gamma (n)\). \(\lambda_1(\Lambda )\) can be seen in Micciancio and Regev (2007).
Definition 5
(\({SIVP}_\gamma \)) (Gentry et al. 2008) An input to \({SIVP}_\gamma \) is an ndimensional lattice basis B. The goal is to output a set of n linearly independent lattice vectors \(S\subset {\mathcal{L}}(B)\), \(S=\{s_1,\ldots ,s_n\}\), such as \(\Vert S\Vert \le \gamma (n)\cdot \lambda_n({\mathcal{L}}(B))\), \(\Vert S\Vert =max_i\Vert s_i\Vert \).
Hard averagecase problems: the small integer solution (SIS)
The hardonaverage problem first proposed by Ajtai (1996) was the SIS problem (Micciancio and Regev 2007) and its variant problem was the inhomogeneous SIS problem (ISIS) (Micciancio and Regev 2007). This was syntactically equivalent to finding some short nonzero vectors in \(\Lambda^\bot (A)\) (Regev 2005; Gentry et al. 2008).
Definition 6
(SIS (\(SIS_{q,m,\beta }\))) (Micciancio and Regev 2007): given an integer q, a uniformly random \(A\in Z_q^{n\times m}\), and a real \(\beta \), find a nonzero integer vector \(e\in Z^m\backslash \{0\}\) such that \(Ae=0\mod q\) and \(\Vert e\Vert \le \beta \).
Definition 7
(ISIS (\(ISIS_{q,m,\beta }\))) (Micciancio and Regev 2007): given an integer q, a uniformly random matrix \(A\in Z_q^{n\times m}\), a uniformly random \(u\in Z_q^n\), and a real \(\beta \), find an integer vector \(e\in Z^m\backslash \{0\}\) such that \(Ae = u \mod q\) and \(\Vert e\Vert \le \beta \).
For \(q(n), m(n), \beta (n)\), \(ISIS_{q,m,\beta }\) and \(SIS_{ q,m,\beta }\) are the ensembles over instances \((q(n),A,\beta (n))\). Obviously, if \(u=0 \mod q\), then \(ISIS_{q,m,\beta }\) is \(SIS_{q,m,\beta }\).
The SIS and ISIS problems are only meaningful if they admit valid solutions for the particular choices of \(q, m,\beta \) such as \(\beta \ge \sqrt{m}\) and \(m\ge 2n\log q\) (Gentry et al. 2008).
Micciancio and Regev (2007) showed that \(SIS_{q,m,\beta }\) and \(ISIS_{q,m,\beta }\) were as hard (on the average) as approximating certain worstcase problems on lattices to within small factors (Micciancio and Regev 2007; Gentry et al. 2008).
Wang et al. gave variants of SIS/ISIS problems (Gentry et al. 2008): BiSIS/BiISIS (Wang et al. 2014).
Definition 8
(BiISIS) (Wang et al. 2014) Given an integer q, a matrix \({\mathbf{A}} \in Z_q^{m\times m}\) chosen randomly with \(rank ({\mathbf{A}} )=n\), two vectors \({\mathbf{u}}_1,\,{\mathbf{u}}_2\in {\mathbb{Z}}_q^m\) and a real \(\beta \), the goal is to find nonzero integer vectors \(x,\,y \in {\mathbb{Z}}^m\backslash \{0\}\) such that
If \(u_1=0 \mod q,\,u_2^t=0 \mod q\), BiISIS is the BiSIS. \(BiSIS_{q,m,\beta }/BiISIS_{q,m,\beta }\) denote the probability ensembles over BiSIS/BiISIS instances. Lemma 9 and Proposition 10 (Wang et al. 2014) gave the hardness of \(BiSIS_{q,m,\beta }\) and \(BiISIS_{q,m,\beta }\).
Lemma 9
(Wang et al. 2014) The problems \(BiSIS_{q,m,\beta }/BiISIS_{q,m,\beta }\) are as hard as the problems \(SIS_{q,m,\beta }/ISIS_{q,m,\beta }\), respectively.
Proposition 10
(Wang et al. 2014) Given any polybounded m, \(\beta =poly(n)\), \(q\ge \beta \cdot \omega (\sqrt{n\log n}\)), the \(BiSIS_{q,m,\beta }\) and \(BiISIS_{q,m,\beta }\) problems in average case are as hard as approximating the problem \(SIVP_\gamma \) and GapSVP, in the worst case within certain \(\gamma =\beta \cdot \tilde{O}(\sqrt{n})\).
Definition 11
(\({BiISIS}^*\)) (Wang et al. 2014) Let n, m, q and \(\beta \) be the parameters as that of ISIS, \({\mathbf{A}} \in Z_q^{m\times m}\) with rank(\({\mathbf{A}} )=n\), \({\mathbf{e}}_1\) is linear independent with column vectors of A, \({\mathbf{e}}_2 \) is linear independent with row vectors of A. For vectors
the goal is to find a vector \(x\in {\mathbb{Z}}^m\) and a vector \(y\in {\mathbb{Z}}^m\) s.t.
If \(e_1,\,e_2\) are unknown, \({BiISIS^*}\) is much harder than BiISIS.
Now we give the formulas of CBiISIS/DBiISIS problem (Wang et al. 2014). Here we only give definition of DBiISIS problem and DBiISIS assumption, CBiISIS problem and CBiISIS assumption were in Wang et al. (2014).
Given security parameters n, q, m, \(\beta \), a matrix \({\mathbf{A}} \in {\mathbb{Z}}_q^{m\times m}\) with rank(A) = n. Let \(D=\{z\in Z^m:\,\parallel z \parallel_2\le \beta \}\). For any vectors \(x\in D\) and \(y\in D\), there exist two vectors sets \(\mathbf{U }=\{\mathbf{u }_1,\ldots ,\, \mathbf{u }_n\}\), which is linear independent with the column vectors of A, and \(\mathbf{V }=\{\mathbf{v }_1,\ldots ,\,\mathbf{v }_n\}\) which is linear independent with the row vectors of A, such that for \(\forall i\in \{1,\ldots ,n\}\), \(y^t\cdot u_i=0 \mod q\), \(v_i^t\cdot x=0 \mod q\). Denote them by notations:
where S and \(S^{\prime }\) are two random subsets of \(\{1,\ldots ,\,n\}\).
Definition 12
(DBiISIS problem) (Wang et al. 2014) Given \((A,A*x,y^t*A,y^tAx)\), the goal is to distinguish \((A,A*x,y^t*A,y^tAx)\) and \((A,A*x,y^t*A,z)\), where \(x,\,y\in D\) and \(z\in {\mathbb{Z}}_q\) are chosen uniformly at random.
Definition 13
(DBiISIS assumption) (Wang et al. 2014) Let \(n,\,m=poly(n)\) be integers, \(m>n\), and \(\beta =poly(n)\) be a real such that \(q\ge \beta \cdot \omega \sqrt{(n\log n)}\) and \(D=\{z\in Z^m:\,\parallel z \parallel_2\le \beta \}\), \(A\in Z_q^{m\times m}\) be a random matrix with rank\((A)=n\). Then for any probabilistic polynomial time (PPT) \({\mathcal{A}}\), the following holds:
where the probability is taken over the random choice of \(x,\,y,\,z\leftarrow_R D\) and the random bits used by \({\mathcal{A}}\).
A PKE scheme is a tuple of PPT algorithms \(\prod =(KeyGen, Encrypt, Decrypt)\) (or \(\prod = (Gen,Enc,Dec)\)) (Katz and Lindell 2007). Here consider the experiment defined for PKE \(\prod =(Gen,Enc,Dec)\) and an adversary \({\mathcal{A}}\). The CPA indistinguishability experiment is \(PubK_{{\mathcal{A}},\prod }^{cpa}(n)\). \(PubK_{{\mathcal{A}},\prod }^{cpa}(n)=1\) stands for the probability of \({\mathcal{A}}\) attacking experiment \(\prod \) successfully (Katz and Lindell 2007). (In case \(PubK_{{\mathcal{A}},\prod }^{cpa}(n)=1\), say \({\mathcal{A}}\) succeeds (Katz and Lindell 2007)).
Definition 14
(Katz and Lindell 2007) A PKE scheme \(\prod =(Gen,Enc,Dec)\) has indistinguishable encryptions under CPA (CPA security) if for all PPT adversaries \({\mathcal{A}}\), there exists a negligible function negl such that:
Security model for CPA
We briefly review the notion of CPA security (Katz and Lindell 2007) which is defined using the game between a challenger and an adversary \({\mathcal{A}}\). Both are given the security parameter \(1^n\) as input. Specifically, set a PKE experiment \(\prod =(Gen, Enc, Dec)\) and an adversary \({\mathcal{A}}\), the CPA experiment is \(PubK_{{\mathcal{A}},\prod }^{cpa}(n)\) as follows.
Setup The challenger runs \(KeyGen(1^n)\) to get a pair of public and private key (pk, sk). The challenger gives \({\mathcal{A}}\) pk as well as oracle access to \(Enc_{pk}(\cdot )\) and keeps sk private.
Queries phase 1 \({\mathcal{A}}\) can issue encryption queries m where message m must be in the plaintext space associated with pk. The challenger responds with Encrypt(pk, m) (or \(Enc_{pk}(m)\)).
Challenge \({\mathcal{A}}\) outputs two messages \(m_0\) and \(m_1\) of equal length to challenger. The challenger picks \(b\in \{0,1\}\) at random and encrypts \( m_b\) to get challenge ciphertext \(C=Encrypt(m_b,pk)\) (or \(C=Enc_{pk}(m_b)\)). The challenger gives C to \({\mathcal{A}}\).
Queries phase 2 \({\mathcal{A}}\) continues to have access to \(Enc_{pk}(\cdot )\) oracle and issues encryption queries m as in phase 1, with the added constraint that \(m\ne m_b\). The challenger responds with Encrypt(pk, m) (\(Enc_{pk}(m)\)).
Guess \({\mathcal{A}}\) outputs its guess (a bit) \(b'\in \{0,1\}\) of b. If \(b' = b\), the simulator outputs 1 (indicating that \({\mathcal{A}}\) wins the game (experiment)); otherwise the simulator outputs 0. And the output of the experiment is defined to be 1 if \(b' = b\), and 0 otherwise. (In case \(PubK^{cpa}_{{\mathcal{A}},\prod }(n)=1\), we say that \({\mathcal{A}}\) succeeds.)
Define the advantage of \({\mathcal{A}}\) in this game as \(Adv_{{\mathcal{A}},\prod }^{cpa}(n)=Pr[b'=b]\frac{1}{2}\). A PKE is CPAsecure if no PPT adversaries \({\mathcal{A}}\) have nonnegligible advantage in this CPA game.
Select parameters
Here the parameters are chosen the same as that in Wang et al. (2014): \(q=O(n^2)\) is prime, \(m=O(n\log n),\,\beta \ge \sqrt{m}\), \(q/\omega (\sqrt{n\log n})> \beta \ge \sqrt{m}\), and \(m \ge 2n\log q\), e.g. for the typical parameters \(q=n^2\), \(m=2n\log q\), and \(\beta =\sqrt{m}=2\sqrt{n\log n}.\)
A latticebased PKE scheme
In this section, we give a direct construction of a CPAsecure PKE scheme under DBiISIS assumption: a simple latticebased PKE scheme.
The encryption scheme
In this subsection, we present the full description of our PKE scheme.
Setup Let n be the security parameter that is parameterized by three integers, \(m=m(n),\,q=q(n)\), a real number \(\beta =\beta (n)\), \(A\in Z_q^{m\times m}\) with \(rank(A)=n,\,m>n\). All computing is performed in \(Z_q\), e.g. modulus q.
Initialize Given a public matrix \(A\leftarrow_R Z_q^{m\times m}\) with \(rank(A)=n\), a short vector set \(D=\{z\in Z^m:\, \parallel Z\parallel \le \beta \}\). Generate \(V=\{v_1^t,\ldots ,v_n^t\}\) which is linear independent with row vectors of A, \(U=\{u_1,\ldots ,u_n\}\) which is linear independent with column vectors of A, and make V, U public.
KeyGen(\(1^n\)) Let y be the secret key, and \(p_B=y^t*A=y^tA+\sum \nolimits_{i=1}^n v_i^t \mod q\) be the public key (which is used to encrypt the plaintext), where \(y\leftarrow_R D\) such that \(\langle u_i,y\rangle=0 \mod q\).
Encrypt(\(p_B, m\)) To encrypt a message \(m\in Z_q\), first pick a random vector \(x\leftarrow_R D\) such that \(\langle v_i,x \rangle=0 \mod q\) (x can be generated by pseudorandom generators). Then compute
The ciphertext is \(C=(C_1,C_2)\). Erase x secretly (if the sender and the receiver are at the same places, erase x directly) and output ciphertext C.
Decrypt(\(C=(C_1,C_2), y\)) To decrypt the ciphertext \(C=(C_1,C_2)\) with the private key \(y^t\), first calculate \(K=y^t \cdot C_1 \mod q\). Then decrypt finishes as follows \(m=C_2K \mod q\).
Correctness If the PKE is run honestly, then m can be obtained successfully such that \(<v_i,x>=0 \mod q,\, <u_i,y>=0 \mod q\).
The scheme’s correctness (with overwhelming probability) follows by the form of \(C_1,\,C_2,\,K\):
with \(\langle v_i,x \rangle=0 \mod q, \langle u_i,y \rangle=0 \mod q\), we have that
Security under CPA
We utilize the “Game hopping” (Dent 2006) to prove its CPA security of our latticebased PKE scheme. We reduce its CPA security to the DBiISIS assumption. If a PPT adversary \({\mathcal{A}}\) wins the CPA game with nonnegligible advantage, then we can construct a simulator that distinguishes a DBiISIS tuple from a random tuple with nonnegligible advantage.
Theorem 15
If DBiISIS problem is hard for a PPT algorithm \({\mathcal{G}}\), then the latticebased PKE scheme in “The encryption scheme” section has indistinguishable encryptions under CPA. Namely, our PKE shcheme is CPA secure underDBiISIS assumption.
Proof
Suppose there exists an adversary \({\mathcal{A}}\) (or an algorithm) to win the CPA game, we build a simulator (an algorithm), \({\mathcal{S}}\), that has nonnegligible advantage in solving DBiISIS problem.
Let \(\prod \) be the latticebased PKE scheme in “The encryption scheme” section. Suppose that \({\mathcal{A}}\) is a PPT adversary, and define
Let \(\tilde{\prod }\) be the modified PKE, where GenKey is the same as in \(\prod \). But to encrypt a message \(m\in Z_q\) with public key \((Z,q,A,P_B)\), the sender selects \(x, z_1,z_2\leftarrow_R D\) and computes ciphertext \(C=(C_1,C_2)=(A*x,(z_2^t*A)z_1+m)\).
Although the receiver cannot calculate the plaintext m from \(\tilde{\prod }\), \(PubK_{{\mathcal{A}},\tilde{\prod }}^{cpa}(n)\) is still welldefined since the experiment depends only on \(KeyGen(\cdot )\), \(encrypt(\cdot )\).
Now we discuss that the ciphertext in \(\tilde{\prod }\) is independent of the plaintext m being encrypted. Virtually, when \(z_1,\,z_2\leftarrow_R D\), \(z_2^t(A*z_1)\mod q\) and \((z_2^t*A)z_1\mod q\) are two random elements in \(Z_q\). This implies that \(m+z_2^t(A*z_1)\mod q,\,m+(z_2^t*A)z_1\mod q\) are independent of m. Obviously, the first element \(C_1=y^t*A \mod q\) in \(\tilde{\prod }\) has no relationship with plaintext m. Taken together, the ciphertext in \(\tilde{\prod }\) is independent of m and hence contains no information about m. Thus we get
The simulator \({\mathcal{S}}\) now plays the role of challenger in the CPA game and tries to solve DBiISIS problem (we recall that when \({\mathcal{S}}\) receives (\(Z_q,Z_q^m,A,q,P_B, C_1,C_3\)) where for \(\forall x,\,y,\,z_1,\,z_2\leftarrow_R D\)
\(C_3\) is equal to \((y^t*A)x\) or \(C_3\) is equal to \((z_2^t*A)\cdot z_1\) such that \(\langle z_2,u_i \rangle=0\mod q, \langle z_1,v_i \rangle=0\mod q\)). The simulator \({\mathcal{S}}\) that accomplishes this simulates the view of the adversary \({\mathcal{A}}\) as follows.
\({\mathcal{S}}\) takes \(Z_q,q,A,C_1,C_2,C_3\) as input.
Setup The adversary \({\mathcal{A}}\) is given the public key \(A,\, p_B=y^t*A=y^tA+\sum \nolimits_{i=1}^n v_i^t \mod q\) whose corresponding private key is \(y\leftarrow_R D\) such that \(\langle y,u_i \rangle =0\mod q\). (Here \(A,\, p_B\) are used to encrypt the message m.)
Queries phase 1 The adversary \({\mathcal{A}}\) issues encryption queries. The adversary has unlimited access to \(Enc_{p_B}(\cdot )\) oracle with input a message m, where m is an alleged plaintext.
Challenge The adversary \({\mathcal{A}}\) submits two messages \(m_0\) and \(m_1\) and sends them to the simulator. The simulator \({\mathcal{S}}\) flips a coin, b, constructs the challenge ciphertext \(C=(C_1, C_2)\) of \(m_b,\,b\in \{0,1\}\) and gives it to \({\mathcal{A}}\), where \(C_1=A*x \mod q\), \(C_2=C_3+m_b\mod q\).
We note that C is a valid encryption of \(m_b\) if the simulator \({\mathcal{S}}\) is given a DBiISIS tuple. Otherwise, if \({\mathcal{S}}\) is given a random tuple, C is independent of b in the \({\mathcal{A}}'s\) view.
Queries phase 2 Same as phase 1. But the adversary is not allowed to query the \(Enc_{p_B}(\cdot )\) oracle on message \(m_b\).
Guess Then \({\mathcal{A}}\) continues to have oracle access to \(Enc_{p_B}(\cdot )\) and outputs its guess \(b'\) of b. If \(b'=b\), \({\mathcal{S}}\) outputs 1 and answers “DBiISIS” (indicating that \(C_3=y^tAx)\); otherwise \({\mathcal{S}}\) outputs 0 and answers “random” (indicating that \(C_3=z_2^tAz_1\)). More precisely, there are two corresponding cases of \({\mathcal{S}}'\)s performances. (The simulator \({\mathcal{S}}\) takes as input a random challenge \(C=(C_1,C_3+m_b)\) where \(C_3\) is either \(y^tAx\) or a random element of \(Z_q\).) The simulator \({\mathcal{S}}\) proceeds as follows.

1.
\({\mathcal{S}}\) runs \({\mathcal{G}}(1^n)\) to get \((Z_q,Z_q^m,A,q)\) which can be regarded as \({\mathcal{S}}'s\) input. \({\mathcal{S}}\) chooses \(x,\,y,\,z_1,\,z_2\leftarrow_R D\) and sets
$$ \begin{aligned} C_1&=A*x=Ax+\sum \limits_{i=1}^n u_i \mod q\\ p_B&=y^t*A=y^tA+\sum \limits_{i=1}^n v_i^t \mod q\\ C_3&=(z_2^t*A)\cdot z_1\mod q\\ (C_3&=z_2^t\cdot (A* z_1)\mod q) \end{aligned} $$Then \({\mathcal{S}}\) runs algorithm \({\mathcal{A}}\) on a public key constructed as
$$ pk= \langle Z_q,Z_q^m,A,q,p_B \rangle $$and a ciphertext constructed as
$$ C=(C_1,C_2)=(A*x,C_3+m_b)$$In this case, \(C_3=(z_2^t*A)\cdot z_1\mod q\) (or \(C_3=z_2^t\cdot (A* z_1)\mod q\)), Thus we have that \(C_2\) is completely random from the view of \({\mathcal{A}}\), which implies that \({\mathcal{A}}'\)s view is the same as \({\mathcal{A}}'\)s view in \(PubK_{{\mathcal{A}},\tilde{\prod }}^{cpa}(n)\) since C is completely random. Because \({\mathcal{S}}\) outputs 1 when \({\mathcal{A}}\) outputs \(b'\): \(b'=b\), hence
$$ Pr[{\mathcal{S}}(Z_q,z_q^m,A,q,y^t*A,A*x,(z_2^t*A)\cdot z_1)=1] =Pr\left[ PubK_{{\mathcal{A}},\tilde{\prod }}^{cpa}(n)=1\right] =\frac{1}{2}$$ 
2.
\({\mathcal{S}}\) runs \({\mathcal{G}}(1^n)\) to obtain \((Z_q,Z_q^m,A,q)\) which can be regarded as the input of \({\mathcal{S}}\). Then, \({\mathcal{S}}\) selects \(x,\,y\leftarrow_R D\), sets
Finally, \({\mathcal{S}}\) runs algorithm \({\mathcal{A}}\) on a public key constructed as
and a cipherext constructed as
Obviously, in this case, \(C_3=(y^t*A)x \mod q\), then \(C_2\) is a valid ciphertext. That means that \({\mathcal{A}}'s\) view distribution is exactly as \({\mathcal{A}}'s\) view in \(PubK_{{\mathcal{A}},\prod }^{cpa}(n)\) since C is a valid ciphertext. \({\mathcal{S}}\) outputs 1 when \({\mathcal{A}}\) outputs \(b'\): \(b'=b\), hence
We see that if \(C_3\) is sampled from random, \(C=(C_1,C_2)\) is random; if \(C_3\) is sampled from DBiISIS game, \(C=(C_1,C_2)\) is the valid ciphertext. Putting together the two cases, it follows that \({\mathcal{A}}'\)s advantage \(Adv_{{\mathcal{A}},\prod }^{cpa}(n)\) in distinguishing between the real “DBiISIS” and “random” is negligibly close to
that is \(Adv_{{\mathcal{A}},\prod }^{cpa}(n)=Pr[PubK_{{\mathcal{A}}, \prod }^{cpa}(n)=1]\frac{1}{2}\). Since the DBiISIS problem is hard, there must exist a negligible function negl(n) such that
which implies that \(\varepsilon (n)\le \frac{1}{2}+negl(n)\) (In other words, S has advantage at most negl(n) in solving DBiISIS problem). It follows that our PKE in “The encryption scheme” section has indistinguishable encryptions under CPA. By Definition 14, we have
All in all, for all PPT adversaries \({\mathcal{A}}\), the latticebased PKE system in “The encryption scheme” section is CPA security if the DBiproblem is hard. This completes the proof. \(\square \)
Comparison with latticebased PKEs
For the comparison to be meaningful, we consider the latticedbased PKEs. Table 1 shows the comparison in the term of communication complexity (complexity of space or storage efficiency, e.g. Pub.size) and computation complexity (e.g Enc.comp.) of PKEs. Pub.size means the size of the public key, others are so; Comput.Comp. means the computation complexity and is estimated by the number of the multiplications in \(Z_q\). Their main computation operation contains the matrixvector multiplication in \(Z_q\). Table 1 shows the comparison in more detail. Here n is the security parameter, q is a polynomial function of n.
Compared with PKEs (Regev 2005; Lindner and Peikert 2011), from the respective of the space complexity of view, priv.size in our system is nearly the same as that of Regev (2005) but smaller than that in Lindner and Peikert (2011); the public key size is slightly bigger than that of Regev (2005) and Lindner and Peikert (2011); the Cipher.size is almost the same as that of Regev (2005) and Lindner and Peikert (2011); and the range of the encrypted plaintext is significantly bigger than that in Regev (2005) but smaller than that of Lindner and Peikert (2011). As for Comput.comp, our Enc.comp is a little bigger than that of Regev (2005) and Lindner and Peikert (2011); our Dec.comp is nearly identical to that in Regev (2005), but smaller than that in Lindner and Peikert (2011). Compared with the BGNtype PKE (Gentry et al. 2010), the performance of our PKE is much better except for Plain.size and Pub.size. Obviously, Cipher.size, Enc.Comp., Dec.Com., Priv.size and Plain.size are all much smaller than that of Gentry et al. (2010) although Pub.size of Gentry et al. (2010) is a little smaller than our Pub.size.
In short, our latticebased scheme is equally advantageous to the scheme in Regev (2005) except for the plain.size. Our scheme enjoys almost the same advantages as that in Lindner and Peikert (2011) in the aspects of Pub.size, Cipher.size, Enc.Com., but Dec.comp and Priv.size are much more advantageous than that in Lindner and Peikert (2011), plain.size is smaller. But our scheme has more advantages than that of Gentry et al. (2010) in all aspects which are mentioned in Table 1 except for Plain.size, Pub.size. In addition, all the PKEs of Regev (2005), Lindner and Peikert (2011) and Gentry et al. (2010) are from the LWE problem while ours depends on the SIS problem. The PKEs of Regev (2005), Lindner and Peikert (2011) and Gentry et al. (2010) and ours are all CPAsure and resist quantum attack.
A latticebased extended structure PKE of matrix form
To sent plaintext with multiple bits in our PKE, one can use matrix secret and matrix plaintext. Now we describe the PKE in “multiple bits” scenario and show its CPA security underlying DBiISIS assumption.
Basic construction
In the following, we convert the latticebased KE on SIS (Wang et al. 2014) into an asymmetric PKE with multiple bits: an extended structure PKE of matrix form.
Use the same parameters \(m=m(n),\,q=q(n),\,\beta =\beta (n)\) and \(A\in Z_q^{m\times m}\) with \(rank(A)=n,\,n< m\) as mentioned above.
Setup Generate public parameters \(n,\,m,\,n<m\), a real number \(\beta \), a prime q, a random matrix \(A\in Z_q^{m\times m}\) with \(rank(A)=n \), a short vector set \(D=\{z\in Z^m:\, \parallel Z\parallel \le \beta \}\).
Initialize Assume that pick randomly \(X\leftarrow_R D^{k_1}\), generate vector group V which are linearly independent with row vectors of A, such that \(V^t\cdot X=0 \mod q\), then keep X private and make V public. Suppose that randomly pick \(Y\leftarrow_R D^{k_2}\), choose vector group U which are linearly independent with column vectors of A, such that \(Y^t U=0\mod q\), then keep Y private and make U public, where \(k_1,k_2\) are integers.
KeyGen Let
be the public key which is used to encrypt message, \(Y^t\) is the corresponding private key.
Encrypt To send a message \(M\in Z_q^{k_2\times k_1}\), pick \(X\leftarrow_R D^{k_1}\) as a random value such that \(V^t\cdot X=0 \mod q\) (X can be generated by the pseudorandom generator. If the sender and the receiver are at the same local, X is deleted once the ciphertext is completed successfully).
Then compute
Output ciphertext \(C=(C_1,C_2)\) and erase X secretly.
Decrypt Upon receiving \(C=(C_1,C_2)\), knowing the private key \(Y^t\), decrypt the message by first calculating
Then compute \(C_2K \mod q\) to get message M.
Correctness If the system is run honestly, the message M is obtained correctly.
To show the correctness of our scheme, \(C_1,\,C_2,\,K\) can be written as follows:
then we obtain message M by computing
such that \(V^t\cdot X=0 \mod q\), \(Y^t U=0\mod q\).
CPA security
Theorem 16 indicates that our extended PKE of matrix form in “Basic construction” section is CPA secure under DBiISIS assumption.
Theorem 16
If DBiISIS problem is hard for a PPT algorithm \({\mathcal{G}}\), then the latticebased PKE in “Basic construction” section is security against CPA under DBiISIS assumption.
Proof
The proof of Theorem 16 is similar to that of Theorem 15, omit it here.
Conclusion
In this paper, we present a simple PKE scheme that achieves CPA security under the DBiISIS assumption. We build it on previous works of Wang et al. (2014) and Regev (2005) and believe that it is easy to understand. Table 1 gives some comparisons with other latticebased PKEs which indicates that the advantages of our latticebased PKE are nearly the same as that in Regev (2005), a little different from that of Lindner and Peikert (2011), but much more than that in Gentry et al. (2010).
In addition, we extend the latticebased PKE in “The encryption scheme” section to a latticebased extended structure PKE of matrix form with multiple bits in “Basic construction” section indicate its CPA secure.
Note that our PKE schemes in both “The encryption scheme” section and “Basic construction” section may be modified to be security against chosenciphertext attacks (CCA) (Stinson 2005; Katz and Lindell 2007). How to improve our proposed PKE schemes to interactive multiparty PKE schemes, how to modify our PKE schemes into signatures based on BiISIS, et al are also worth considering. Maybe our construction is a foundation for other cryptographic primitives constructed. And our construction may be an important step in showing how versatile the SIS assumption can be. We leave them as open problems.
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Authors' contributions
First of all, I’d like to show my gratitude to my supervisor, ZH, who led me into the design of the structure of the manuscript, gave me so much useful advice on my writing and tried his best to improve this manuscript. For example, he involved in drafting the manuscript and helped me check the data of the whole manuscript. Secondly, I’d like to express my gratitude to my classmate, FL, who offered me references and information on time, such as acquisition of data, interpretation of data in “Comparison with latticebased PKEs” section. Without their help, it would be harder for me to finish this manuscript. All authors read and approved the final manuscript.
Acknowlegements
For the completion of this manuscript, I wished to express my deepest gratitude to my supervisor, Professor Zhengming Hu, who had given me the most valuable suggestion, constant encouragement and guidance, and made necessary corrections. Without his consistent and illuminating instruction, this paper could not have reached its present form. I would like to express my thanks to my classmate Fengju Lv, who had provided me with useful materials and generously helped me work out my problems during the difficult course of the manuscript. Finally, my thanks would go to my sincere friends who gave me their help. This work is partially supported by the National Natural Science Foundation of China (NSFC) A3 Foresight Program (No. 61411146001).
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The authors declare that they have no competing interests.
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Zhou, L., Hu, Z. & Lv, F. A simple latticebased PKE scheme. SpringerPlus 5, 1627 (2016). https://doi.org/10.1186/s4006401633004
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DOI: https://doi.org/10.1186/s4006401633004
Mathematics Subject Classification
 06D50