This library implements PEP cryptography based on ElGamal encrypted messages. In the ElGamal scheme, a message M can be encrypted for a receiver which has public key Y associated with it, belonging to secret key y. This encryption is random: every time a different random b is used, results in different ciphertexts (encrypted messages). We represent this encryption function as Enc(b, M, Y).

The library supports three homomorphic operations on ciphertext in (= Enc(b, M, Y), encrypting message M for public key Y with random b):

• out = rekey(in, k): if in can be decrypted by secret key y, then out can be decrypted by secret key k*y. Decryption will both result in message M. Specifically, in = Enc(r, M, Y) is transformed to out = Enc(r, M, k*Y).
• out = reshuffle(in, s): modifies a ciphertext in (an encrypted form of M), so that after decryption of out the decrypted message will be equal to s*M. Specifically, in = Enc(r, M, Y) is transformed to out = Enc(r, n*M, Y).
• out = rerandomize(in, r): scrambles a ciphertext. Both in and out can be decrypted by the same secret key y, both resulting in the same decrypted message M. However, the binary form of in and out differs. Spec: in = Enc(b, M, Y) is transformed to out = Enc(r+b, M, Y);

The reshuffle(in, n) and rekey(in, k) can be combined in a slightly more efficient rsk(in, k, n).

Additionally, reshuffle2(in, n_from, n_to) and rekey2(in, k_from, k_to), as well as rsk2(...), can be used for bidirectional transformations between two keys, effectively applying k = k_from^-1 * k_to and n = n_from^-1 * n_to.

The key idea behind this form of cryptography is that the pseudonymization and rekeying operations are applied on encrypted data. This means that during initial encryption, the ultimate receiver(s) do(es) not yet need to be known. Data can initially be encrypted for one key, and later rekeyed and potentially reshuffled (in case of identifiers) for another key, leading to asynchronous end-to-end encryption with built-in pseudonymisation.

Apart from a Rust crate, this library also contains a WASM library for usage in the browser or web applications with a similar API, enabled with the wasm feature.

For pseudonymization, the core operation is reshuffle with s. It modifies a main pseudonym with a factor s that is specific to a user (or user group) receiving the pseudonym. After applying a user specific factor s, a pseudonym is called a local pseudonym. The factor s is typically tied to the access group or domain of a user, which we call the pseudonymization context.

Using only a reshuffle is insufficient, as the pseudonym is still encrypted for a key the user does not possess. To allow a user to decrypt the encrypted pseudonym, a rekey with k is needed, in combination with a protocol to hand the user the secret key k*y. The factor k is typically tied to the current session of a user, which we call the decryption context.

When the same encrypted pseudonym is used multiple times, rerandomize is applied every time. This way a binary compare of the encrypted pseudonym will not leak any information.

This library is using the Ristretto encoding on Curve25519, implemented in the curve25519-dalek crate, but with patches by Signal for lizard encoding of arbitrary 16 byte values into ristretto points. There are a number of arithmetic rules for scalars and group elements: group elements can be added and subtracted from each other. Scalars support addition, subtraction, and multiplication. Division can be done by multiplying with the inverse (using s.invert() for non-zero scalar s). A scalar can be converted to a group element (by multiplying with the special generator G), but not the other way around. Group elements can also be multiplied by a scalar.

Group elements have an almost 32 byte range (top bit is always zero, and some other values are invalid). Group elements can be generated by GroupElement::random(..) or GroupElement::from_hash(..). Scalars are also 32 bytes, and can be generated with Scalar::random(..) or Scalar::from_hash(..). There are specific classes for ScalarNonZero and ScalarCanBeZero, since for almost all PEP operations, the scalar should be non-zero.

We offer APIs at different abstraction levels.

0. The arithmetic module (internal API) offers the basic arithmetic operations on scalars and group elements and the elgamal module offers the ElGamal encryption and decryption operations.
1. The primitives module implements the basic PEP operations such as rekey, reshuffle, and rerandomize and the extended rekey2 and reshuffle2 variants, as well as a combined rsk and rsk2 operation.
2. The high_level module offer a more user-friendly API with many high level data types such as Pseudonyms and DataPoints.
3. The distributed module additionally provides a high-level API for distributed scenarios, where multiple servers are involved in the rekeying and reshuffling operations and keys are derived from multiple master keys.

Depending on the use case, you can choose the appropriate level of abstraction.

Build using cargo: cargo build and test using cargo test.

To build the WASM library, use either npm run build:nodejs or npm run build:web (which will call wasm-pack build --features wasm for the preferred target).

The wasm library can be tested using the Node.js jest framework, after compiling the wasm library for Node.js: npm run test.

The following features are available:

• wasm: enables the WASM library.
• elgamal3: enables longer ElGamal for debugging purposes or backward compatibility, but with being less efficient.
• legacy-pep-repo-compatible: enables the legacy PEP repository compatible mode, which uses a different function to derive scalars from contexts and secrets.
• insecure-methods: enables insecure methods, to be used with care.
• build-binary: builds the peppy command-line tool to interact with the library (not recommended for production use).

Install using

cargo install libpep

Run peppy using cargo:

cargo run --bin peppy

• Authors: Bernard van Gastel and Job Doesburg
• License: Apache License 2.0

Based on the article by Eric Verheul and Bart Jacobs, Polymorphic Encryption and Pseudonymisation in Identity Management and Medical Research. In Nieuw Archief voor Wiskunde (NAW), 5/18, nr. 3, 2017, p. 168-172.