openenv.yaml

name: pll-cyberattack-detection
version: 1.0.0
description: >
  Real-world OpenEnv for cyberattack detection on SRF-based 
  Phase-Locked Loops in grid-connected inverters. An agent monitors 
  sensor streams and detects False Data Injection attacks before 
  they cause loss of grid synchronization.
tags: [power-systems, cybersecurity, control-systems, openenv, pll, fdi]
reward_range: [-2.2, 1.15]
observation_space:
  type: continuous
  shape: [83]
  fields:
    - name: vq_window
      shape: [20]
      description: q-axis voltage error signal (pu)
    - name: vd_window
      shape: [20]
      description: d-axis voltage (pu)
    - name: omega_window
      shape: [20]
      description: normalized frequency deviation from nominal
    - name: omega_deviation_window
      shape: [20]
      description: frequency deviation from nominal (rad/s)
    - name: raw_voltages
      shape: [3]
      description: raw three-phase voltages [va, vb, vc] (pu)
action_space:
  type: mixed
  fields:
    - name: attack_detected
      type: bool
    - name: attack_type
      type: int
      range: [0, 4]
    - name: confidence
      type: float
      range: [0.0, 1.0]
    - name: protective_action
      type: int
      range: [0, 3]
tasks:
  - id: sinusoidal_fdi
    difficulty: easy
    numeric_id: 0
    grader: time_to_detection
    max_score: 1.0
    episode_length: 500
    description: Detect sinusoidal FDI attack within 100 steps of attack start
  - id: multi_attack_classification
    difficulty: medium
    numeric_id: 1
    grader: classification_accuracy
    max_score: 1.0
    episode_length: 500
    description: Classify attack type from observation window
  - id: stealthy_attack_detection
    difficulty: hard
    numeric_id: 2
    grader: pre_lock_loss_detection
    max_score: 1.0
    episode_length: 500
    description: Detect stealthy low-amplitude attack before PLL loss-of-lock
episode_length: 500