Swift Homomorphic Encryption is a Swift implementation of homomorphic encryption (HE) and applications including Private Information Retrieval (PIR).
Applications of Swift Homomorphic Encryption include:
Swift Homomorphic Encryption is a collection of libraries and executables. For more information, refer to documentation for the libraries:
- HomomorphicEncryptionProtobuf
- HomomorphicEncryption
- PrivateInformationRetrievalProtobuf
- PrivateInformationRetrieval
- PrivateNearestNeighborSearchProtobuf
- PrivateNearestNeighborSearch
and executables:
The documentation is hosted on the Swift Package Index.
Swift Homomorphic Encryption implements a special form of cryptography called homomorphic encryption (HE). HE is a cryptosystem which enables computation on encrypted data. The computation is performed directly on the encrypted data, without revealing the plaintext of that data to the operating process. HE computations therefore happen without decryption or access to the decryption key.
HE thereby allows a client to enable a server to perform operations on encrypted data, and therefore without revealing the data to server. A typical HE workflow might be:
- The client encrypts its sensitive data and sends the resulting ciphertext to the server.
- The server performs HE computation on the ciphertext (and perhaps its own plaintext inputs), without learning what any ciphertext decrypts to.
- The server sends the resulting ciphertext response to the client.
- The client decrypts to learn the response.
Swift Homomorphic Encryption implements the Brakerski-Fan-Vercauteren (BFV) HE scheme, which is based on the ring learning with errors (RLWE) hardness problem. This scheme can be configured to support post-quantum 128-bit security.
Warning
BFV does not provide IND-CCA security, nor does it provide IND-CPAD security when there is a non-negligible decryption error probability. BFV should be used accordingly. In particular, no information about each decrypted ciphertext should be sent back to the server. To protect against a malicious server, the client should also validate the decrypted content is in the expected format.
Consult a cryptography expert when developing and deploying homomorphic encryption applications.
Private information retrieval (PIR) is one application of HE. PIR enables a client to perform a database lookup from a server hosting a keyword-value database, without the server learning the keyword in the client's query.. Each row in the database is a keyword with an associated value. During the PIR protocol, the client issues a query using its private keyword, and learns the value associated with the keyword.
A trivial implementation of PIR is to have the client issue a generic "fetch database" request, independent of its private keyword. Then the server sends the entire database to the client. While this trivial PIR protocol satisfies the privacy and correctness requirements of PIR, it is only feasible for small databases.
The PIR implementation in Swift Homomorphic Encryption uses HE to improve upon the trivial PIR protocol.
Warning
PIR is asymmetric, meaning the client may learn keyword-value pairs not requested, as happens in trivial PIR for instance. A variant of PIR, known as symmetric PIR, would be required to ensure the client does not learn anything about values it did not request.
Private nearest neighbor search (PNNS) enables a client with a private vector to search for the nearest vectors in a database hosted by a server, without the server learning the client's vector..
Each row in the database is a vector with an associated entry identifier and entry metadata.
During the PNNS protocol, the client issues a query using its private vector, and learns the nearest neighbor according to a DistanceMetric
.
Specifically, the client learns the distances between the client's query vector to the nearest neighbor, as well as the entry identifier and entry metadata of the nearest neighbor.
A trivial implementation of PNNS is to have the client issue a generic "fetch database" request, independent of its private vector. Then the server sends the entire database to the client, who computes the distances locally. While this trivial PNNS protocol satisfies the privacy and correctness requirements of PNNS, it is only feasible for small databases.
The PNNS implementation in Swift Homomorphic Encryption uses homomorphic encryption to improve upon the trivial PNNS protocol.
Swift Homomorphic Encryption is available as a Swift Package Manager package.
To use Swift Homomorphic Encryption, choose a tag.
Then, add the following dependency in your Package.swift
.package(
url: "https://github.com/apple/swift-homomorphic-encryption",
from: "tag"),
, replacing tag
with your chosen tag, e.g. 1.0.0
.
To use the HomomorphicEncryption
library, add
.product(name: "HomomorphicEncryption", package: "swift-homomorphic-encryption"),
to your target's dependencies.
Important
When linking your executable, make sure to enable cross-module-optimization
.
Without this flag, performance of Swift Homomorphic Encryption degrades dramatically,
due to failure to specialize generics. For example,
.executableTarget(
name: "YourTarget",
dependencies: [
.product(name: "HomomorphicEncryption", package: "swift-homomorphic-encryption"),
],
swiftSettings: [.unsafeFlags(["-cross-module-optimization"],
.when(configuration: .release))]
)
You can then add
import HomomorphicEncryption
to your Swift code to access the functionality in the HomomorphicEncryption
library.
Note
If you are using Swift Homomorphic Encryption for research, please cite using the CITATION.cff file.
See the Snippets for examples using HomomorphicEncryption
.
To run the EncryptionParametersSnippet
, run
swift run -c release EncryptionParametersSnippet
Swift Homomorphic Encryption aims to support all of the platforms where Swift is supported.
Note
Swift Homomorphic Encryption relies on SystemRandomNumberGenerator as a cryptographically secure random number generator, which may have platform-dependent behavior.
The following table maps Swift Homomorphic Encryption packgae versions to required Swift and Xcode versions:
Package version | Swift version | Xcode version |
---|---|---|
1.0.x | >= Swift 5.10 | >= Xcode 15.3 |
main | >= Swift 6.0 | >= Xcode 16.1 |
Swift Homomorphic Encryption follows Semantic Versioning 2.0.0. Source breaking changes to the public API can only land in a new major version, with the following exception:
- Adding a new
case
to a publicenum
type will require only a minor version bump. For instance, we may add a newenum
to an HeError. To avoid breaking source code, add adefault
case when adding aswitch
on the enum values.
Future minor versions of the package may introduce changes to these rules as needed.
We'd like this package to quickly embrace Swift language and toolchain improvements that are relevant to its mandate. Accordingly, from time to time, we expect that new versions of this package will require clients to upgrade to a more recent Swift toolchain release. Requiring a new Swift release will only require a minor version bump.
Developing Swift Homomorphic Encryption requires:
- Nick Lockwood SwiftFormat, v0.54.0
- pre-commit
- swift-format, v510.1.0
- swift-protobuf, v1.28.1
- SwiftLint, v0.55.1
You can build Swift Homomorphic Encryption either via Xcode or via command line in a terminal.
After cloning the repository, run
cd swift-homomorphic-encryption
git submodule update --init --recursive
To build Swift Homomorphic Encryption from Xcode, simply open the root directory in Xcode. See the Xcode documentation for more details on developing with Xcode.
To build Swift Homomorphic Encryption from command line, open the root directory (i.e., the swift-homomorphic-encryption
directory) of the cloned repository in a terminal, and run
swift build -c release
The build products will be in the .build/release/
folder.
To build in debug mode, run
swift build
The build products will be in the .build/debug/
folder.
Warning
Runtimes may be much slower in debug mode.
To install Swift Homomorphic Encryption targets, use the experimental-install
feature of Swift Package Manager.
First ensure sure that the ~/.swiftpm/bin
directory is on your $PATH
.
For example, if using the zsh
shell, add the following line to your ~/.zshrc
export PATH="$HOME/.swiftpm/bin:$PATH"
Make sure to reload the path via (source ~/.zshrc
) or by restarting your terminal emulator.
Then, to install the PIRProcessDatabase
, executable, e.g., run
swift package experimental-install -c release --product PIRProcessDatabase
Run unit tests via
swift test -c release --parallel
To run tests in debug mode, run
swift test --parallel
Warning
Tests will be slow in debug mode.
Swift homomorphic encryption uses Benchmark for benchmarking. By default, benchmarking requires the jemalloc dependency.
Warning
The benchmark may crash intermittently due to a known issue.
For reliable execution, benchmark can be run without jemalloc
as described here.
Two ways to run the benchmarks are:
- Xcode
- Open the
swift-homomorphic-encryption
folder in Xcode. - Switch to a benchmark target.
- Run the target, e.g., via the
Product
menu.
- Open the
- Command line
- Run
swift package benchmark
. - See the Benchmark documentation for more information on running benchmarks.
- Run
If you are interested in making a contribution to Swift Homomorphic Encryption, see our contributing guide.
Swift Homomorphic Encryption uses DocC for documentation. For more information, refer to the DocC documentation and the Swift-DocC Plugin.
The documentation can be built from Xcode via Product -> Build Documentation
.
The documentation can be built from command line by running
swift package generate-documentation
and previewed by running
swift package --disable-sandbox preview-documentation --target HomomorphicEncryption