Skip to main content

A small cat help you enjoy your side channel attack journal!

Project description

MLSCAT

A small cat that helps you enjoy your side channel attack journey!

Features

  • Read Datasets: We provide a simple method to read some exist datasets(it would be better if there have the same structure!
  • Cal Rank: try to give the key and result nparray
  • Simple Attack: CPA, DPA.
  • quickly data preprocessing.

example:

import mlscat as cat

print(cat.__version__)

# 0.1

How to install❓

To install mlscat, just follow one steps:

pip install mlscat

Benefits

  • Reduce Workload.
  • Increase hair volume.

引用

如果您在研究中使用了本工具库,请在您的文章中引用以下文献:

@software{hou_2025_15074706,
  author       = {Hou, Minghui},
  title        = {Mlscat-Machine Learning based Side Channel Analysis Tools},
  month        = mar,
  year         = 2025,
  publisher    = {M0nk3y},
  doi          = {10.5281/zenodo.15074706},
  url          = {https://doi.org/10.5281/zenodo.15074706}
}

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

mlscat-0.1.5.0.tar.gz (8.9 kB view details)

Uploaded Source

File details

Details for the file mlscat-0.1.5.0.tar.gz.

File metadata

  • Download URL: mlscat-0.1.5.0.tar.gz
  • Upload date:
  • Size: 8.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.8.13

File hashes

Hashes for mlscat-0.1.5.0.tar.gz
Algorithm Hash digest
SHA256 a96b000facfdc54b97303e7d80de9c382741c836a14fba7ddee939a82091e30a
MD5 b7b9550d151fa726becb8464b322fe16
BLAKE2b-256 d8b6dcad2d3081e747edb031dadafc8c00bd98cf9077904350c9d700e5b0d242

See more details on using hashes here.

Supported by

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