C/C++密码学库Flint

Cryptography has crept into everything, from Web browsers and e-mail programs to cell phones, bank cards, cars and even into medical implants. In the near fu- ture we will see many new exciting applications for cryptography such as radio frequency identification (RFID) tags for anti-counterfeiting or car-to-car commu- nications (we’ve worked on securing both of these applications). This is quite a change from the past, where cryptography had been traditionally confined to very specific applications, especially government communications and banking systems. As a consequence of the pervasiveness of crypto algorithms, an increasing number of people must understand how they work and how they can be applied in prac- tice. This book addresses this issue by providing a comprehensive introduction to modern applied cryptography that is equally suited for students and practitioners in industry.

密码编码学与网络安全 原理与实践 教材已经被众多高校采用，有教师资源网站和学生资源网站。

William Stallings Cryptography and Network Security Principles and Practice 最新第六版 非常少见的资源

密码学英文教材An Introduction to Mathematical Cryptography，讲得很好

密码编码学与网络安全 第五版 英文版 Cryptography and Network Security Principles and Practice, 5th Edition

eciesjs TypeScript中secp256k1的椭圆曲线集成加密方案。 这是JavaScript /打字稿版本的带有内置类样secp256k1 ，你可以去那里详细的文档和学习引擎盖下的机制。 如果希望WASM版本在浏览器中运行，请检查 。 安装 npm install eciesjs 快速开始 > import { encrypt , decrypt , PrivateKey } from 'eciesjs' > const k1 = new PrivateKey ( ) > const data = Buffer . from ( 'this is a test' ) > decrypt ( k1 . toHex ( ) , encrypt ( k1 . publicKey . toHex ( ) , data ) ) . toString ( ) 'this is a test' API encrypt(receiverRawPub: string | Buffer, msg: Buffer): Buffer 参数： receiverRawPub-接收者的se

信息安全_数据安全_cryp-f03-other-cryptography 基础设施 安全设计 信息安全 信息保护 数据分析

信息安全_数据安全_cryp-t08-general-cryptography 数据安全 漏洞挖掘 安全开发 web安全 情报处理

TF Encrypted是TensorFlow中用于加密机器学习的框架。 它看上去和感觉上都像TensorFlow，它利用Keras API的易用性，同时通过安全的多方计算和同态加密对加密数据进行训练和预测。 TF Encrypted的目的是在不要求密码学，分布式系统或高性能计算专业知识的情况下，使隐私保护机器学习随时可用。 有关更多，，请参见下文，或访问以了解有关如何使用该库的更多信息。 也非常欢迎您加入我们的以解决有关使用和开发的所有问题。 安装 TF Encrypted是上的一个软件包，支持Python 3.5+和TensorFlow 1.12.0+： pip install tf-