# Microsoft SEAL
Microsoft SEAL is an easy-to-use open-source ([MIT licensed](LICENSE)) homomorphic encryption library developed by the Cryptography and Privacy Research Group at Microsoft.
Microsoft SEAL is written in modern standard C++ and is easy to compile and run in many different environments.
For more information about the Microsoft SEAL project, see [sealcrypto.org](https://www.microsoft.com/en-us/research/project/microsoft-seal).
This document pertains to Microsoft SEAL version 4.0.
Users of previous versions of the library should look at the [list of changes](CHANGES.md).
## News
The [BGV scheme](https://eprint.iacr.org/2011/277) is now available in Microsoft SEAL.
Implementation details are described in [this paper](https://eprint.iacr.org/2020/1481.pdf).
We truly appreciate [Alibaba Gemini Lab](https://alibaba-gemini-lab.github.io/) for making massive efforts to develop the BGV scheme and integrate it in Microsoft SEAL. And we would like to thank Privacy Technologies Research, Intel Labs, for continous testing and reporting issues.
Starting from version 3.7.2, Microsoft SEAL will push new changes to the `main`, `master`, and `contrib` branches without creating a new version.
We adopt this approach to merge community contribution and resolve issues in a timely manner.
These branches will stay ahead of the latest version branch/tag.
New versions will be created when there are important bug fixes or new features.
The [EVA compiler for CKKS](https://arxiv.org/abs/1912.11951) is available at [GitHub.com/Microsoft/EVA](https://GitHub.com/Microsoft/EVA). See [CKKS Programming with EVA](#ckks-programming-with-eva) below for more information.
The [SEAL-Embedded for CKKS Encryption](https://tches.iacr.org/index.php/TCHES/article/view/8991) is available at [Github.com/Microsoft/SEAL-Embedded](https://github.com/microsoft/SEAL-Embedded).
The [APSI library for Asymmetric PSI](https://eprint.iacr.org/2021/1116) is available at [Github.com/Microsoft/APSI](https://github.com/microsoft/APSI).
## Contents
- [Introduction](#introduction)
- [Core Concepts](#core-concepts)
- [Homomorphic Encryption](#homomorphic-encryption)
- [Microsoft SEAL](#microsoft-seal-1)
- [Getting Started](#getting-started)
- [Optional Dependencies](#optional-dependencies)
- [Intel HEXL](#intel-hexl)
- [Microsoft GSL](#microsoft-gsl)
- [ZLIB and Zstandard](#zlib-and-zstandard)
- [Installing from NuGet Package](#installing-from-nuget-package-windows-linux-macos-android-ios)
- [Examples](#examples)
- [CKKS Programming with EVA](#ckks-programming-with-eva)
- [Building Microsoft SEAL Manually](#building-microsoft-seal-manually)
- [Building C++ Components](#building-c-components)
- [Requirements](#requirements)
- [Building Microsoft SEAL](#building-microsoft-seal)
- [Installing Microsoft SEAL](#installing-microsoft-seal)
- [Building and Installing on Windows](#building-and-installing-on-windows)
- [Building for Android and iOS](#building-for-android-and-ios)
- [Building for WebAssembly](#building-for-webassembly)
- [Basic CMake Options](#basic-cmake-options)
- [Advanced CMake Options](#advanced-cmake-options)
- [Linking with Microsoft SEAL through CMake](#linking-with-microsoft-seal-through-cmake)
- [Examples, Tests, and Benchmark](#examples-tests-and-benchmark)
- [Building .NET Components](#building-net-components)
- [Windows, Linux, and macOS](#windows-linux-and-macos)
- [Android and iOS](#android-and-ios)
- [Using Microsoft SEAL for .NET](#using-microsoft-seal-for-net)
- [Building Your Own NuGet Package](#building-your-own-nuget-package)
- [Contributing](#contributing)
- [Citing Microsoft SEAL](#citing-microsoft-seal)
- [Acknowledgments](#acknowledgments)
## Introduction
### Core Concepts
Most encryption schemes consist of three functionalities: key generation, encryption, and decryption.
Symmetric-key encryption schemes use the same secret key for both encryption and decryption; public-key encryption schemes use separately a public key for encryption and a secret key for decryption.
Therefore, public-key encryption schemes allow anyone who knows the public key to encrypt data, but only those who know the secret key can decrypt and read the data.
Symmetric-key encryption can be used for efficiently encrypting very large amounts of data, and enables secure outsourced cloud storage.
Public-key encryption is a fundamental concept that enables secure online communication today, but is typically much less efficient than symmetric-key encryption.
While traditional symmetric- and public-key encryption can be used for secure storage and communication, any outsourced computation will necessarily require such encryption layers to be removed before computation can take place.
Therefore, cloud services providing outsourced computation capabilities must have access to the secret keys, and implement access policies to prevent unauthorized employees from getting access to these keys.
### Homomorphic Encryption
Homomorphic encryption refers to encryption schemes that allow the cloud to compute directly on the encrypted data, without requiring the data to be decrypted first.
The results of such encrypted computations remain encrypted, and can be only decrypted with the secret key (by the data owner).
Multiple homomorphic encryption schemes with different capabilities and trade-offs have been invented over the past decade; most of these are public-key encryption schemes, although the public-key functionality may not always be needed.
Homomorphic encryption is not a generic technology: only some computations on encrypted data are possible.
It also comes with a substantial performance overhead, so computations that are already very costly to perform on unencrypted data are likely to be infeasible on encrypted data.
Moreover, data encrypted with homomorphic encryption is many times larger than unencrypted data, so it may not make sense to encrypt, e.g., entire large databases, with this technology.
Instead, meaningful use-cases are in scenarios where strict privacy requirements prohibit unencrypted cloud computation altogether, but the computations themselves are fairly lightweight.
Typically, homomorphic encryption schemes have a single secret key which is held by the data owner.
For scenarios where multiple different private data owners wish to engage in collaborative computation, homomorphic encryption is probably not a reasonable solution.
Homomorphic encryption cannot be used to enable data scientists to circumvent GDPR.
For example, there is no way for a cloud service to use homomorphic encryption to draw insights from encrypted customer data.
Instead, results of encrypted computations remain encrypted and can only be decrypted by the owner of the data, e.g., a cloud service customer.
Most homomorphic encryption schemes provide weaker security guarantees than traditional encryption schemes. You need to read [SECURITY.md](SECURITY.md) if you are thinking of building production software using Microsoft SEAL.
### Microsoft SEAL
Microsoft SEAL is a homomorphic encryption library that allows additions and multiplications to be performed on encrypted integers or real numbers.
Other operations, such as encrypted comparison, sorting, or regular expressions, are in most cases not feasible to evaluate on encrypted data using this technology.
Therefore, only specific privacy-critical cloud computation parts of programs should be implemented with Microsoft SEAL.
It is not always easy or straightfoward to translate an unencrypted computation into a computation on encrypted data, for example, it is not possible to branch on encrypted data.
Microsoft SEAL itself has a steep learning curve and requires the user to understand many homomorphic encryption specific concepts, even though in the end the API is not too complicated.
Even if a user is able to program and run a specific computation using Microsoft SEA
安装同态加密包 pyfhel 3.4.1版本
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安装同态加密包 pyfhel 3.4.1版本 （460个子文件） 
gradlew.bat 2KB make.bat 782B fips202.c 19KB blake2b.c 10KB blake2xb.c 6KB setup.cfg 21B .clang-format 4KB SEALMacros.cmake 4KB CheckCXXIntrinsicsSpecific.cmake 2KB ExternalBenchmark.cmake 2KB EnableCXX17.cmake 1KB ExternalZLIB.cmake 1KB functions.iOS.cmake 1KB ExternalZSTD.cmake 1KB ExternalIntelHEXL.cmake 1KB CheckCXXIntrinsicsHeader.cmake 1018B EnableCXXCompilerFlags.cmake 960B CleanArtifacts.cmake 897B ExternalGTest.cmake 850B ExternalMSGSL.cmake 754B CheckMemset.cmake 582B packages.config 119B evaluator.cpp 258KB evaluator.cpp 110KB uintarith.cpp 76KB rns.cpp 52KB 8_performance.cpp 49KB encryptor.cpp 46KB rns.cpp 45KB context.cpp 39KB Afseal.cpp 38KB polyarithsmallmod.cpp 34KB ztools.cpp 33KB uintcore.cpp 25KB uintarith.cpp 23KB mempool.cpp 23KB evaluator.cpp 22KB context.cpp 21KB uintarithsmallmod.cpp 20KB 1_bfv_basics.cpp 20KB keygenerator.cpp 19KB iterator.cpp 19KB 7_serialization.cpp 19KB decryptor.cpp 19KB rlwe.cpp 18KB serialization.cpp 18KB ntt.cpp 17KB mempool.cpp 17KB batchencoder.cpp 16KB ciphertext.cpp 15KB common.cpp 14KB ciphertext.cpp 14KB 3_levels.cpp 14KB 5_ckks_basics.cpp 14KB uintarithmod.cpp 14KB plaintext.cpp 14KB valcheck.cpp 14KB numth.cpp 13KB 2_encoders.cpp 13KB keygenerator.cpp 13KB bench.cpp 13KB streambuf.cpp 12KB polyarithsmallmod.cpp 12KB ckks.cpp 12KB modulus.cpp 11KB stringtouint64.cpp 11KB galoiskeys.cpp 10KB serialization.cpp 10KB bgv.cpp 10KB uintarithmod.cpp 10KB randomgen.cpp 10KB relinkeys.cpp 10KB ciphertext.cpp 10KB plaintext.cpp 9KB ckks.cpp 9KB encryptor.cpp 9KB locks.cpp 9KB dynarray.cpp 8KB 4_bgv_basics.cpp 8KB galois.cpp 8KB plaintext.cpp 8KB modulus.cpp 8KB numth.cpp 8KB scalingvariant.cpp 8KB ckks.cpp 8KB encryptionparameters.cpp 8KB modulus.cpp 8KB encryptor.cpp 7KB kswitchkeys.cpp 7KB 6_rotation.cpp 7KB bfv.cpp 7KB globals.cpp 7KB uint64tostring.cpp 7KB ckksencoder.cpp 7KB randomgen.cpp 7KB Demo_Afseal_batch.cpp 7KB polycore.cpp 6KB encryptionparams.cpp 6KB uintarithsmallmod.cpp 6KB keygenerator.cpp 6KB共 460 条
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m0_703520142024-01-20下载了之后该怎么安装啊
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