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WeBankBlockchain/WeDPR-Lab-Crypto

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Apache-2.0

项目背景

WeDPR

WeDPR是一系列即时可用场景式隐私保护高效解决方案套件和服务(参见WeDPR白皮书),由微众银行区块链团队自主研发。方案致力于解决业务数字化中隐私不“隐”、共享协作不可控等隐私保护风险痛点,消除隐私主体的隐私顾虑和业务创新的合规壁垒,助力基于隐私数据的核心价值互联和新兴商业探索,营造公平、对等、共赢的多方数据协作环境,达成数据价值跨主体融合和数据治理的可控平衡。

WeDPR具备以下特色和优势:

  • 场景式解决方案:已基于具有共性的场景需求,提炼出公开可验证密文账本、多方密文决策、多方密文排名、多方密文计算、多方安全随机数生成、选择性密文披露等高效技术方案框架模板,可应用于支付、供应链金融、跨境金融、投票、选举、榜单、竞拍、招标、摇号、抽检、审计、隐私数据聚合分析、数字化身份、数字化资质凭证、智慧城市、智慧医疗等广泛业务场景。
  • 即时可用:高性能、高易用、跨平台跨语言实现、不依赖中心化可信服务、不依赖可信硬件、支持国密算法标准、隐私效果公开可验证,5分钟一键构建示例应用。
  • 透明可控:隐私控制回归属主,杜绝数据未授权使用,在『数据可用而不可见』的基础上,进一步实现数据使用全程可监管、可追溯、可验证。

WeDPR全面拥抱开放,将陆续开源一系列核心算法组件,进一步提升系统安全性的透明度,提供更透明、更可信的隐私保护效果。WeDPR-Lab就是这一系列开源的核心算法组件的集合。

为便于开发者仅对WeDPR-Lab中的密码算法组件进行选择性使用,我们将WeDPR-Lab中涉及的所有密码算法组件进行拆分、迁移,重新独立包装形成一个新的密码模块仓库WeDPR-Lab-Crypto。

WeDPR-Lab-Crypto v1.2.0版本开源主要内容如下:

  • 核心密码算法组件:n选k不经意传输算法

    • 其中,n和k均为任意正整数,k<n。

    对于以下场景:

    • 数据方的数据目录中共有n条消息记录

    • 查询方选择k个消息的索引向数据方查询消息

    不经意传输算法能实现的具体隐私效果是:

    • 数据方无法得知查询方的查询索引,即:查询方查询索引隐私;

    • 除了所查索引的消息外,查询方无法得知数据方数据目录中的其他消息,即:数据方数据隐私。

  • 二进制接口,包括所有核心密码算法的高性能二进制接口;

WeDPR-Lab-Crypto v1.1.0版本开源主要内容如下:

  • 核心密码算法组件,包括:

    • 分组加密算法:包括AES-256、国密SM4;

    • 哈希算法:包括SHA3、BLAKE2、RIPEMD-160;

    • 椭圆曲线计算:包括椭圆曲线BN128的点加、点乘及双线性对操作;

    • 数字签名算法:包括Ed25519;

    • 零知识证明的聚合验证:包括加和证明的聚合验证、乘积证明的聚合验证。

  • 二进制接口,包括所有核心密码算法的高性能二进制接口;

  • FFI接口,支持交叉编译跨语言、跨平台所调用的FFI适配接口。

WeDPR-Lab-Crypto v1.0.0版本开源主要内容如下:

  • 核心密码算法组件,包括:

    • 基础编解码;

    • 公钥加解密算法,包括基于Secp256k1曲线的ECIES加解密;

    • 哈希算法,包括Keccak256哈希算法与国密SM3;

    • 签名及验证,包括ECDSA签名与国密SM2;

    • 离散对数系统的零知识证明算法,包括加和证明及验证、乘积证明及验证;

    • 零知识范围证明及验证;

    • 基于椭圆曲线的可验证随机函数VRF(Verifiable Random Functions)。

  • FFI接口,支持交叉编译跨语言、跨平台所调用的FFI适配接口。

(说明:由于在进行密码算法组件迁移过程中存在接口变动,所以WeDPR-Lab-Crypto v1.0.0与WeDPR-Lab Core v1.3.0之前版本的密码算法可能存在部分接口不兼容的情况,未来我们会持续进行修复、更新。)

欢迎社区伙伴参与WeDPR-Lab的共建,一起为可信开放数字新生态的构建打造坚实、可靠的技术底座。

安装

安装Rust环境

安装nightly版本的Rust开发环境,可参考Rust官方文档

rustup default nightly

下载WeDPR-Lab-Crypto源代码

使用git命令行工具,执行如下命令。

git clone https://github.com/WeBankBlockchain/WeDPR-Lab-Crypto.git

条件编译

WeDPR-Lab-Crypto支持灵活的定制化算法选择,用户可根据业务场景、实际需求选择对应的密码算法。

譬如,若用户只希望使用“ECIES加解密算法”的Java调用接口,则只需在WeDPR-Lab Crypto的Java FFI目录下,打开ECIES加解密算法对应的特性进行编译,即进行如下条件编译即可:

cd ffi/ffi_java/ffi_java_crypto/
cargo build --features "wedpr_f_base64, wedpr_f_ecies_secp256k1" --no-default-features

只有../ffi目录下涉及条件编译。其中,除ffi_c/ffi_c_crypto和ffi_java/ffi_java_crypto,ffi_commom, ffi_macros与ffi_c/ffi_c_commom都为工具类方法,无需编译。

ffi_c与ffi_java条件编译方法

(以ffi_c目录下的条件编译为例,ffi_java与之类似)

  1. 进入ffi_c目录:
cd ffi/ffi_c/ffi_c_crypto
  1. 查看当前目录下的Cargo.toml中的[features],明确本目录所有的条件编译选项。

  2. 使用cargo build进行编译时,默认打开了所有条件编译选项(默认编解码方式为base64),编译完成后,即生成本目录下所有密码算法的调用接口。

  3. 若只需使用部分密码算法的调用接口,则开启该密码算法对应的条件编译选项,编译时使用:

cargo build --features "一个或多个feature名" --no-default-features

其中,选择"一个或多个feature名"时,注意(binary接口无须使用base64或hex编码):

注意事项 条件编译选项
互斥条件编译项 wedpr_f_base64, wedpr_f_hex
必选条件编译项 wedpr_f_base64或wedpr_f_hex
可选条件编译项 "wedpr_f_ecies_secp256k1", "wedpr_f_signature_secp256k1", "wedpr_f_hash_keccak256", "wedpr_f_signature_sm2", "wedpr_f_hash_sm3", "wedpr_f_vrf_curve25519", "wedpr_f_crypto_block_cipher_aes", "wedpr_f_crypto_block_cipher_sm4", "wedpr_f_hash_ripemd160", "wedpr_f_hash_sha3", "wedpr_f_hash_blake2b", "wedpr_f_signature_ed25519"

接口文档

查看WeDPR所有crate对应文档

其他相关文档

项目贡献

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简介

Cryptography libraries of WeDPR instant scenario-focused solutions for privacy-inspired business; WeDPR即时可用场景式隐私保护高效解决方案密码学算法组件 展开 收起
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