winternitz 1.0.0

Python Winternitz One-Time-Signature(+) implementation

Winternitz One-Time-Signature

Python implementation of Winternitz one-time-signature schemes

Description

Winternitz one-time-signature is an extension of lamport one-time-signature. This python package can be used to execute WOTS operations, including key generation, signature generation and signature verification. Currently WOTS and WOTS+ are implemented.

Introduction

Lamport invented an algorithm in 1979 which allowed one to create one-time-signatures using a cryptographically secure one-way function. It is the basis for the Winternitz one-time-signature algorithm. Winternitz added the possibility to adjust the tradeoff between time- and space-complexity.

Lamport one-time-signature scheme

Lamport suggested to create two secret keys for each bit of a message which will be signed. One for each value the bit can take. To derive the verification key, each secret key is hashed once. Now you have a secret key and a verification key, which consists of m 2-tuples of values, where m is the number of bits of the message. The verification key is published. The signature consists of m values. For each bit of the message you release a secret key from the corresponding secret keys, depending on which value the bit has. All those secret keys form the signature for the message. The verifier hashes each of your secret keys once and compares it to one verification key for this position, depending on the value of the bit. The signature is valid, if and only if all derived verification keys match with your published verification key at the correct position of the 2-tuple, which is determined by the value of the bit. This algorithm is quite fast (comparing it to existing PQC-algorithms), but the signature sizes are huge.

Winternitz extension

Winternitz extended lamports algorithm by offering the possiblity to decide how many bits will be signed together. The amount of numbers those bits can represent is called the Winternitz parameter (w = 2^{bits}). This method offers the huge advantage that the user of this algorithm can choose the time and space tradeoff (whether speed or storage capacity is more relevant). A fingerprint of the message which will be signed is split into groups of ceil(log_2(w))` bits. Each of these groups gets one secret key. Each verification key is derived by hashing the secret key for each group 2^{w-1} times. All verification keys will be published and represent one unified verification key. When signing a message, the fingerprint of the message is split into groups of ceil(log2(w)) bits. To create the signature, the private key for each bit group is hashed bitgroup_value times, where bitgroup_value is the value of the bitgroup. Additionally a (inverse sum) checksum is appended, which denies man-in-the-middle attacks. The checksum is calculated from the signature, split into bit groups of ceil(log2(w)) bits, and signed. To verify the signature, the fingerprint of the message is first split into bit groups of ceil(log2(w) bits each. The basic idea is to take the signature of each bit group, calculate the verification key from it and finally compare it to the published verification key. Since the signature was hashed bitgroup_value times, all you have to do to calculate the verification key from the signature is to hash the signature 2^{w-1} - bitgroup_value - 1 times. Besides verifing the message, the verifier must also calculate the checksum and verify it.

Setup

Requires: Python >= 3.4

Install package: pip install winternitz

Install test tools: pip install winternitz[TEST]

Install linter (for tox tests): pip install winternitz[LINT]

Install documentation tools: pip install winternitz[DOCS]

Install everything: pip install winternitz[ALL]

Test

Without tox (no linter checks): python setup.py test

With tox: python -m tox

Generate documentation

python setup.py docs

Usage

The package winternitz contains a module called signatures. Within this package you can find the classes WOTS and WOTSPLUS. Those classes can be used out of the box to sign or verify messages

WOTS

import winternitz.signatures
wots = winternitz.signatures.WOTS()
sig = wots.sign(b"My message in bytes format")
success = wots.verify(sig["signature"])
print("Verification success: " + str(success))

If you don’t specify any values in the constructor of WOTS, it will use the winternitz parameter 16 and the hash function sha512 as default parameters. The private key will be generated from entropy.

WOTSPLUS

import winternitz.signatures
wotsplus = winternitz.signatures.WOTSPLUS()
sig = wotsplus.sign(b"My message in bytes format")
success = wotsplus.verify(sig["signature"])
print("Verification success: " + str(success))

If you don’t specify any values in the constructor of WOTSPLUS, it will use the winternitz parameter 16 and the hash function defaults to sha256. It further requires a pseudo random function, which defaults to HMAC-sha256, as well as a seed which is also generated from entropy. For further informations about functions and their parameters, visit the module reference in the documentation.

Misc

The WOTS classes come with some features that will be explained in the following sections.

Fully configurable

The WOTS classes are fully parameterizable. You can specify anything that is specified in the papers describing the algorithm, including the Winternitz parameter, the hash function, the pseudo random function (WOTSPLUS), the seed (WOTSPLUS), the private key and the public key. specifing both a private key and public key results in the public key beeing discarded.

On-demand generation of keys

If no private key or no public key is specified, they will be set to None. The same goes for the seed in wots+. Only when they are required, they will be generated or derived. This means that as long as you don’t execute repr(obj), str(obj), obj1 == obj2, obj1 != obj2, obj.pubkey, obj.privkey, obj.sign(...) or obj.verify(...), where obj is a WOTS object, the keys will stay None.

Code representation of WOTS objects

You can call repr(obj), where obj is a WOTS object, to get a line of code which contains all information to initialize another object so that it is equal to obj. Executing obj2 = eval(repr(obj)) executes that code which is returned by repr(obj) and ultimately stores a copy of it in obj2.

Human readable string representation

You can call str(obj) to get a string which contains a human readable representation of that object.

Comparison of objects

You can compare two objects from this class obj1 == obj2 and obj1 != obj2

Optimizations

The code was carefully written to reduce execution times. It surely is not perfect and can still be optimized, further time-critical sections could be coded as C extensions, but nevertheless in the current state it should offer quite an efficient implementation. It defines __slots__ to reduce execution times and storage requirements within the class. Implementation of parallelization is planned, but it is only usefull when using huge winternitz parameters, since python can only execute code in parallel if you spawn a new process and the overhead of forking a new python interpreter is not negliable.

Note

This project has been set up using PyScaffold 3.1. For details and usage information on PyScaffold see https://pyscaffold.org/.