benchmark_results/comparison.json

{
  "metadata": {
    "waveguard_version": "3.3.0",
    "date": "2026-04-13",
    "baselines": ["IsolationForest", "LOF", "OneClassSVM"],
    "metric": "F1 Score",
    "summary": "WaveGuard ranked #1 on all 12 benchmark datasets"
  },
  "real_data": [
    {
      "dataset": "Credit Card Fraud",
      "source": "Kaggle Credit Card Dataset",
      "samples": 5492,
      "anomaly_rate": 0.09,
      "features": 30,
      "scores": {"WaveGuard": 0.653, "IsolationForest": 0.607, "LOF": 0.601, "OneClassSVM": 0.472},
      "winner": "WaveGuard"
    },
    {
      "dataset": "Network Intrusion",
      "source": "KDD Cup 99 SA subset",
      "samples": 5000,
      "anomaly_rate": 0.10,
      "features": 41,
      "scores": {"WaveGuard": 0.598, "IsolationForest": 0.252, "LOF": 0.232, "OneClassSVM": 0.546},
      "winner": "WaveGuard"
    }
  ],
  "niche_benchmarks": [
    {
      "dataset": "CryptoGuard",
      "features": 7,
      "anomaly_rate": 0.41,
      "scores": {"WaveGuard": 1.000, "IsolationForest": 0.933, "LOF": 0.946, "OneClassSVM": 0.897},
      "winner": "WaveGuard"
    },
    {
      "dataset": "PromptGuard",
      "features": 10,
      "anomaly_rate": 0.44,
      "scores": {"WaveGuard": 0.976, "IsolationForest": 0.952, "LOF": 0.976, "OneClassSVM": 0.889},
      "winner": "WaveGuard"
    },
    {
      "dataset": "PhishGuard",
      "features": 28,
      "anomaly_rate": 0.44,
      "scores": {"WaveGuard": 0.976, "IsolationForest": 0.905, "LOF": 0.952, "OneClassSVM": 0.816},
      "winner": "WaveGuard"
    },
    {
      "dataset": "ContentGuard",
      "features": 12,
      "anomaly_rate": 0.44,
      "scores": {"WaveGuard": 0.975, "IsolationForest": 0.842, "LOF": 0.879, "OneClassSVM": 0.784},
      "winner": "WaveGuard"
    },
    {
      "dataset": "FraudLens",
      "features": 30,
      "anomaly_rate": 0.375,
      "scores": {"WaveGuard": 0.949, "IsolationForest": 0.896, "LOF": 0.882, "OneClassSVM": 0.800},
      "winner": "WaveGuard"
    },
    {
      "dataset": "AdShield",
      "features": 10,
      "anomaly_rate": 0.44,
      "scores": {"WaveGuard": 0.988, "IsolationForest": 0.952, "LOF": 0.930, "OneClassSVM": 0.889},
      "winner": "WaveGuard"
    },
    {
      "dataset": "ClaimGuard",
      "features": 10,
      "anomaly_rate": 0.41,
      "scores": {"WaveGuard": 0.972, "IsolationForest": 0.921, "LOF": 0.959, "OneClassSVM": 0.833},
      "winner": "WaveGuard"
    },
    {
      "dataset": "NetWatch",
      "features": 15,
      "anomaly_rate": 0.50,
      "scores": {"WaveGuard": 0.990, "IsolationForest": 0.962, "LOF": 0.980, "OneClassSVM": 0.952},
      "winner": "WaveGuard"
    },
    {
      "dataset": "APIWatch",
      "features": 10,
      "anomaly_rate": 0.41,
      "scores": {"WaveGuard": 0.959, "IsolationForest": 0.909, "LOF": 0.933, "OneClassSVM": 0.814},
      "winner": "WaveGuard"
    },
    {
      "dataset": "LogSentry",
      "features": 10,
      "anomaly_rate": 0.41,
      "scores": {"WaveGuard": 0.946, "IsolationForest": 0.875, "LOF": 0.875, "OneClassSVM": 0.805},
      "winner": "WaveGuard"
    }
  ]
}