> For the complete documentation index, see [llms.txt](https://whitepaper.interlinklabs.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.interlinklabs.ai/interlink-network/interlink-id/core-principles/prevents-identity-spoofing-and-fraud.md).

# Prevents Identity Spoofing & Fraud

To ensure secure authentication, advanced technologies such as the TrueDepth Camera System, Face Flashing, and Video-based Liveness Detection are employed. These solutions verify user authenticity in real time, effectively preventing identity spoofing and fraudulent access.

<figure><img src="/files/sBnV3l3NV4E93OZ3kr2M" alt=""><figcaption><p>Deepfake Detection &#x26; Facial Recognition</p></figcaption></figure>

### 1. TrueDepth Camera System

TrueDepth is an advanced camera system developed by Apple, primarily used for Face ID on iPhones and iPads. It combines infrared light and sophisticated software to create a 3D map of the user's face for secure authentication.

### 2. Face Flashing (Secure Liveness Detection Protocol)

Face Flashing is a secure liveness detection method that uses light reflections to ensure the person in front of the camera is real and not a static image or mask, enhancing security in facial recognition systems.

### 3. Video-based Liveness Detection

This technology analyzes subtle movements in live video to verify the authenticity of the user's face, preventing spoofing attempts through photos or pre-recorded videos.
