Skip to main content

Package that contains ECDSA arithmetics and Merkle tree root calculation

Project description

mini-cryptography

mini-cryptography: mini ECDSA cryptography and Mekle tree root calculation

Mini-cryptography is a library that has ECC (Elliptic Curve Cryptography) arithmetic operations, including ECDSA (Elliptic Curve Digital Signature Algorithm) signature formation and verification. It also has a merkle tree root calculation.

   φ  Documentation: Mini-cryptography
   φ  Source-code: Github
   φ  Bug reports: Github

This library is suited for learning, but it is better not to use it for production.

Content

   φ  Dependencies
   φ  Installation
   φ  Uninstallation
   φ  User guide
      φ  ECDSA
         φ  Data for ECDSA examples
         φ  ECDSA examples
      φ  Merkle
         φ  Data for Merkle examples
         φ  Merkle examples
   φ  License

Dependencies

Mini-cryptography supports Python 3.7+.
Installation automatically includes the tinyec library.

Installation

The library can be installed from PyPI:

pip install mini-cryptography

Uninstallation

The library can be uninstalled using:

pip uninstall mini-cryptography

User guide

There are 2 main classes:
   φ  Ecdsa - has ECDSA arithmetic operations, including signature formation and verification;
   φ  Merkle - has a merkle tree root calculation.

Required libraries

from mini_cryptography import merkle
from mini_cryptography import ecdsa
import hashlib

ECDSA

Other required classes:
   φ  Point - ECDSA point that has x and y coordinates;
   φ  Field - describes the ECDSA field.

Data for ECDSA examples

Secp384r1 is 384-bit prime field Weierstrass curve. Also known as P-384 ansip384r1:

a = 39402006196394479212279040100143613805079739270465446667948293404245721771496870329047266088258938001861606973112316
b = 27580193559959705877849011840389048093056905856361568521428707301988689241309860865136260764883745107765439761230575
n = 39402006196394479212279040100143613805079739270465446667946905279627659399113263569398956308152294913554433653942643
p = 39402006196394479212279040100143613805079739270465446667948293404245721771496870329047266088258938001861606973112319
G = ecdsa.Point(
    26247035095799689268623156744566981891852923491109213387815615900925518854738050089022388053975719786650872476732087,
    8325710961489029985546751289520108179287853048861315594709205902480503199884419224438643760392947333078086511627871
)
secp384r1 = ecdsa.Field(a, b, n, p, G)
curve = ecdsa.Ecdsa(field=secp384r1, name="secp384r1")

Points

point1 = ecdsa.Point(
    19577993669543055159462232654227477804059834554938749056365059575367343238573934152231932832497698572508881172084304,
    34797297628126597108728033628292920232095535295240081944254459873403593475466847089395925227525676205111687199013609
)
point2 = ecdsa.Point(
    2643888095364097454558349481745047911629089192351741699089972264282318601908091592262966275642198233545325090846186,
    12384549089646028340756024322986515983214437514151244063613237375835994573258040845173892755352541890195338888681840
)
ECDSA examples

Points sum

new_point = sum_points(point1, point2)
Result:
New point (
    22152009089199730593582524338115427010336291169893373839910753311913746007332469659451755453856401184556487920772225,
    21415530147108271193135517297779083081913015961082356748098427685923206883047231450346172563957532258197936273940105
)

Points multiplication

multiplier = 9868959070921577617284768940259093768032668379810297735137924030066340321810481073797782613683403119141615137083587
new_point = multiply_points(point1, multiplier)
Result: 
New point (
    14103764458811902000156928461250459647654661504776098395816220167714718139473397796549037360732342313833270939242263,
    17395148190829553535748807655250157906889415207238492158034708401150356646081290450883354819984464883347616139045011
)

Generate random private key [1, n-1]

privateKey = curve.private_key_generator()
Result: privateKey = 20989443543778090555157442102131049817299902423795685309899862760056430951462397686708870733055917820122718887042439

Multiplication of G (base) point from the given multiplier

public_key = curve.G_multiplication(privateKey) # or curve.calculate_public_key(privateKey)
Result: 
G(x, y) (
    30040694804942853208177610713088115928148181688856632998897580287365858436344609590182460206850552050293936278998346,
    17559245262757783022105893899857708160332511010412356224688036071313308531776780869864952047367968387454976435887533
)

Generate random k [1, ... n-1]

k = curve.k_generator()
Result: 11000

Sign message

message = 'Religio, Doctrina, Civilitas, prae omnibus Virtus'
hash = int(hashlib.sha1(message.encode()).hexdigest(),base=16)

r, s = curve.sign_message(privateKey, k, hash=hash)
Result:
Signature (
	r = 22152009089199730593582524338115427010336291169893373839910753311913746007332469659451755453856401184556487920772225, 
	s = 33247802217962351080804096577524498301009516670239406026864057032340769378746165513387841747729702616554540985061660
)

Verify signature validity

verification = curve.verify_signature(r, s, hash, public_key)
Result: True

Merkle

Data for Merkle examples
hashList = [
    '01000000295c297aee86096dcf6092',
    '0100000007bdc63ab3e74058a87b92',
    '01000000017b23260463311a4d1936',
    '0100000007bdc63ab3e74058a87b92'
]
Merkle examples

Merkle root calculation from transactions

merkle.Merkle().merkle_root(hashList, 0) #if 0 transactions are hashed, then 1 transactions are not hashed. 
Result: 'f3b5457f44b0a28a11ced653941ae1f2632b219f5d366a4167945eff0ed068a1'

Calculate transaction hash

merkle.Merkle().transaction_hash(hashList[0])
Result: b'3860b826dfc02feed1bbeb908eb0b2c0f5ea32a1b12ef1e8d87d2bf0e3802795'

License

GNU General Public License v3 or later (GPLv3+)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mini-cryptography-0.0.1.tar.gz (22.6 kB view hashes)

Uploaded Source

Built Distribution

mini_cryptography-0.0.1-py3-none-any.whl (20.1 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page