Analysis Method for Concrete Security of Attribute-based Encryption Based on Learning With Errors
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摘要: 为了能全面研究基于容错学习(LWE)的属性基加密(ABE)方案的安全性,考察其抵抗现有攻击手段的能力,在综合考虑格上算法和方案噪声扩张对参数的限制后,利用已有的解决LWE的算法及其可用程序模块,该文提出了针对基于LWE的ABE方案的具体安全性分析方法。该方法可以极快地给出满足方案限制要求的具体参数及方案达到的安全等级,此外,在给定安全等级的条件下,该方法可以给出相应的具体参数值。最后,利用该方法分析了4个典型的基于LWE的属性基加密方案的具体安全性。实验数据表明,满足一定安全等级的基于LWE的属性基方案的参数尺寸过大,还无法应用到实际中。Abstract: In order to comprehensively study the security of the Attribute-Based Encryption (ABE) scheme based on Learning With Errors (LWE) and test its ability to resist existing attacks, an analysis method for concrete security of ABE based on LWE is proposed. After consideration of the parameter restrictions caused by algorithms on lattices and noise expansion, this method applies the existing algorithms to solving LWE and the available program modules, and it can quickly provide the specific parameters that satisfy the scheme and estimate the corresponding security level. In addition, it can output the specific parameters that satisfy the pre-given security level. Finally, four existing typical schemes are analyzed by this method. Experiments show that the parameters are too large to be applied to practical applications.
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表 1 符号定义
符号 意义 符号 意义 $d$ 整数值 ${{\mathbb{Z}}_q}$ 模$q$的剩余类环 ${{a}}$ 列向量${{a}}$ ${{\mathbb{Z}}^{n \times m}}$ $n \times m$整数矩阵集合 ${{A}}$ 矩阵${{A}}$ $\left\lceil {q/2} \right\rceil $ 大于$q/2$的最小整数 ${{A}} ^{\rm{T}}$ 矩阵${{A}}$的转置 $\left\lfloor {q/2} \right\rfloor $ 小于q/2的最大整数 ${{A}}|{{B }}$ 矩阵${{A}}$和矩阵${{B }}$合并 $\varTheta (n)$ 渐进精确界记号 ${\mathbb{Z}}$ 整数域 $\omega (n)$ 非渐进紧下界记号 ${\mathbb{R}}$ 实数域 $O(n)$ 渐进上界记号 表 2 密码算法的安全级别
安全等级(${2^n}$) 40 64 80 128 192 256 安全级别 薄弱(weak) 传统(legacy) 基准(baseline) 标准(standard) 较高(high) 超高(ultra) 表 3 d, n=64时参数和最低安全等级
${λ}$ 的关系$c$ $q$ $\log q \approx $ $m$ ${\rm{Dis}}( \cdot )$? ${λ}$ 8 281474976710677 48 6144 否 – 11 73786976294838206459 66 8448 是 30.6 16 79228162514264337593543950319 96 12288 是 31.1 32 6277101735386680763835789423207666416102355444464034513029 192 24576 是 32.0 64 39402006196394479212279040100143613805079739270465446667948293404245721771497210611414266254884915640806627990307047 384 48727 是 32.9 表 4
${d} {= 1}$ 时参数和最低安全等级${λ}$ 的关系$n$ $c$ $q$ $\log q \approx $ $m$ ${\rm{Dis}}( \cdot )$? $\alpha $ ${λ} $ 128 8 72057594037927931 56 14336 否 – – 10 1180591620717411303449 70 17920 是 6.01e–18 31.8 512 7 9223372036854775783 63 64512 否 – – 8 4722366482869645213711 72 73728 是 3.30e–18 35.1 1024 7 1180591620717411303449 70 143360 否 – – 8 1208925819614629174706189 80 163840 是 2.10e–20 60.1 1275 7 5477360094305419921879 72 184146 否 – – 8 6983634120239410400390599 83 210452 是 4.11e–21 81.3 4096 6 4722366482869645213711 72 589824 否 – – 7 19342813113834066795298819 84 688128 是 2.95e–21 636.7 表 5 达到基准安全等级
${λ} ' \approx{80}$ 时方案的参数$d$ $n$ $\log q \approx $ $m$ $\alpha $ 1 1275 82.5 210452 4.11e–21 2 1375 104.3 286694 1.42e–27 4 2925 161.2 943015 2.04e–44 8 5500 285.8 3143580 1.27e–81 16 11000 537.0 1181490 6.32e–157 表 6 方案数据量大小(GB)
$d$ 公钥 主密钥 密文 密钥 1 12.96 1719.55 0.006098 2138.19 2 43.39 8044.95 0.017530 9050.57 4 1716.67 536681.89 0.302340 553453.20 8 295332.43 168482949.37 26.900739 168812017.63 16 1064847265.92 1143637238342.29 48402.517727 1143645963601.98 表 7 方案中参数和最低安全等级
${λ} $ 的关系方案 AF $n$ $\log q \approx $ $m$ $\alpha $ $\lambda $ 文献[9] d = 1 128 103 26368 4.28e–25 32.5 k = 2 1024 120 245760 3.71e–29 40.6 p = 10 4096 132 1081344 4.46e–32 335.3 文献[16] $r = 2$ 128 93 8836 4.46e–22 31.9 1024 102 10609 2.94e–24 50.3 4096 108 11881 1.03e–25 511.2 文献[17] $l = 3$ 128 87 67632 2.91e–28 31.7 1024 96 591000 3.48e–31 37.8 4096 101 2483646 4.18e–33 185.8 表 8 方案达到基准安全等级
${λ} ' \approx {80}$ 时方案的参数 -
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