What Is iBeta Level 2 Dataset?

The iBeta Level 2 dataset is the advanced dataset used in Level 2 Presentation Attack Detection (PAD) testing. It builds on the Level 1 dataset by introducing more sophisticated spoofing attempts, requiring biometric systems to demonstrate higher resilience against skilled, well-funded attackers.

This dataset is part of the ISO/IEC 30107-3 testing standard and is widely recognized as a global benchmark for advanced biometric liveness detection.

1. Purpose of the iBeta Level 2 Dataset

The Level 2 dataset is designed to:

  • Simulate professional-grade spoofing attempts that use time, money, and expertise.
  • Test advanced liveness detection in biometric systems.
  • Differentiate basic solutions from high-security systems.

Provide certification credibility for industries where security stakes are highest, such as finance, defense, and healthcare.

2. Composition of the Level 2 Dataset

Like Level 1, the dataset contains both genuine and spoof samples, but the spoof artifacts are far more advanced.

  1. Genuine Biometric Samples
    • Collected from real subjects across diverse demographics.
    • Used to ensure legitimate users can still authenticate smoothly.
  2. Advanced Spoof Samples
    • Created using specialized tools and materials.
    • Production cost limited to USD 300 (10x more than Level 1).
    • Examples include:
      • 3D-printed masks
      • Silicone or latex prosthetics
      • Resin or composite fingerprint molds
      • High-quality video replays on advanced displays

3. Testing Parameters

  • Number of Subjects: At least 6 volunteers used for artifact creation.
  • Timeframe: At least 48 hours allowed for attack preparation.
  • Test Runs: Hundreds of spoof attempts are carried out.
  • Pass/Fail Standard:
    • Systems must keep spoof acceptance extremely low.
    • Tolerance is stricter than Level 1, with essentially no room for error.

4. How the Dataset Challenges Biometric Systems

Level 2 spoofing attacks are designed to mimic human characteristics more convincingly. The dataset tests whether the biometric system can handle:

  1. Skin-like textures: Silicone or latex masks simulate pores, elasticity, and reflections.
  2. 3D depth cues: 3D-printed faces or masks challenge depth-based liveness checks.
  3. Sub-surface detection: Attacks probe whether the system can analyze under-skin structures.
  4. AI-driven replays: Deepfake or high-resolution video attacks target motion and dynamic detection.

5. Comparison: Level 1 vs Level 2 Dataset

AspectLevel 1 DatasetLevel 2 Dataset
Attack ComplexityLow-effort, casual attacksHigh-effort, professional-grade attacks
Materials Cost≤ USD 30≤ USD 300
Time to Create≤ 8 hours≥ 48 hours
Spoof ExamplesPrinted photos, video replays, paper masks3D masks, silicone prosthetics, advanced molds
Subjects InvolvedGeneral volunteersAt least 6 subjects
Certification Tolerance0% spoof acceptanceStricter thresholds, near-zero spoof acceptance

6. Importance of Level 2 Dataset

The Level 2 dataset ensures biometric solutions are not only resistant to casual attacks but also to well-prepared, advanced threats. This is especially important for:

  • Banks and fintech companies protecting high-value transactions.
  • Healthcare providers securing sensitive medical data.
  • Government agencies running border control and defense systems.
  • Enterprises with zero tolerance for unauthorized access.

7. Benefits of Passing Level 2 Testing

  • Proves advanced spoof resistance against professional attacks.
  • Builds global trust and market advantage in highly regulated industries.
  • Demonstrates compliance with ISO/IEC 30107-3 standards.
  • Differentiates solutions from competitors that only meet Level 1 requirements.

8. Related Topics and Themes

  1. iBeta Level 2 dataset
  2. advanced PAD dataset
  3. ISO/IEC 30107-3 Level 2
  4. Level 2 biometric spoof detection
  5. 3D mask liveness detection dataset
  6. silicone spoof dataset
  7. iBeta certification Level 2
  8. advanced biometric dataset testing

Conclusion

The iBeta Level 2 dataset is the gold standard for advanced biometric liveness testing. By incorporating sophisticated, high-effort spoof artifacts, it ensures that biometric systems can withstand not just casual fraud but also skilled, well-funded attacks.

Passing Level 2 certification with this dataset is a strong competitive advantage, proving a biometric system is ready for deployment in high-security industries where trust, compliance, and resilience are essential.

FAQs

What types of attacks are in Level 2 dataset?

It includes high-quality spoofs such as digital screens, video replays, and 3D masks.

Why is iBeta Level 2 dataset critical for testing?

It validates whether biometric systems can withstand sophisticated and real-world attacks.

Who should use iBeta Level 2 dataset?

Enterprises in finance, government, and healthcare often need Level 2 testing for regulatory compliance.

How does Level 2 compare with Level 1 dataset?`

Level 2 uses more advanced attacks that are harder to detect than basic Level 1 spoofs.

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