cff-version: 1.2.0
message: "If you use JoyfulJay in your research, please cite it as below."
title: "JoyfulJay: Encrypted Traffic Feature Extraction Library"
abstract: >-
  JoyfulJay is a Python library for extracting standardized, ML-ready features
  from encrypted network traffic. It operates on PCAP files and live network
  interfaces, producing feature vectors that capture timing, size, and
  protocol metadata patterns without decrypting traffic.
type: software
authors:
  - name: "JoyfulJay Contributors"
repository-code: "https://github.com/cenab/joyfuljay"
url: "https://joyfuljay.readthedocs.io"
license: MIT
keywords:
  - network traffic
  - encrypted traffic
  - machine learning
  - feature extraction
  - TLS
  - QUIC
  - security
version: 0.1.0
date-released: 2025-01-01
