Earth ID: A Decentralized, Video-Based Identity Verification System Leveraging Deep Hashing, Behavioral Biometrics, and Peer-to-Peer Federated Learning
Executive Summary
Earth ID is a pioneering technology that combines artificial intelligence, video processing, deep hashing, behavioral biometrics, peer-to-peer federated learning, and cryptography to provide a secure, decentralized identity verification system. By generating a unique, reproducible hash from a video stream and using it to create a private-public key pair, Earth ID offers a robust solution for Decentralized Identity (DID) and Single Sign-On (SSO) applications.
1. Introduction
In the digital age, identity verification is a critical concern. Traditional methods often rely on centralized authorities, which can be vulnerable to attacks and privacy breaches. Earth ID addresses these issues by providing a decentralized, client-side solution that enhances privacy and security.
2. Technology Overview
Earth ID is designed as a client-side application that runs in the browser and outside the browser in a standalone WASM runtime with a suitable SDK. It uses WebAssembly (WASM) for computationally intensive tasks, with a JavaScript wrapper for interfacing with the web page or SDK for standalone applications. This architecture ensures that all processing happens locally on the user's device, enhancing privacy and performance.
2.1 Video Processing
The video stream is captured from the webcam using the MediaDevices.getUserMedia() JavaScript API or suitable SDK methods for standalone applications. The video is then processed into frames, which serve as the input for the feature extraction process.
2.2 Feature Extraction, Behavioral Biometrics, and Deep Hashing
A pre-trained deep learning model, compiled to WASM, is used to extract features from each frame and map these features to a set of binary codes (hashes) using a deep hashing technique. The model also incorporates behavioral biometrics, such as keystroke dynamics, mouse dynamics, and gait analysis, to enhance the uniqueness and security of the generated hash. The goal is to learn a hash function that preserves the semantic similarities among the videos, ensuring that the same person is always mapped to the exact same binary code, regardless of variations in the video.
2.3 Key Generation
The binary code generated by the deep hashing model is used as a seed to generate a private-public key pair using a deterministic key generation algorithm implemented in WASM. The private key is used for authentication, while the public key is used for identity verification.
3. Liveness Detection
To prevent spoofing attacks, Earth ID incorporates a liveness detection mechanism. This involves analyzing the video stream for signs of liveliness, such as natural motion or challenge-response tasks. The liveness detection algorithm is implemented in WASM for optimal performance.
4. Peer-to-Peer Federated Learning
Earth ID leverages peer-to-peer federated learning to train the machine learning models used for feature extraction, behavioral biometrics, and liveness detection. This approach allows the models to learn from a diverse range of data, improving their performance, without any data or model updates being shared with a central server. It involves a cycle of local training, model sharing, and model aggregation, coordinated directly between the devices.
5. Decentralized Identity (DID) and Single Sign-On (SSO)
The private-public key pair generated by Earth ID can be used for DID and SSO applications. The private key is used to authenticate the user, while the public key is used by others to verify the user's identity. This provides a seamless user experience and enhances security.
6. Earth ID SDK
The Earth ID SDK provides developers with the tools they need to integrate Earth ID into their applications. The SDK includes APIs for capturing video, processing video frames, extracting features, generating hashes, creating private-public key pairs, and verifying identities. It also includes documentation and sample code to help developers get started.
7. Security and Privacy
Earth ID is designed with privacy and security in mind. All processing is done on the client side, ensuring that video data never leaves the user's device. The private key is stored securely and never exposed, and the hashing and key generation processes are deterministic, ensuring reproducibility.
8. Conclusion
Earth ID represents a significant advancement in the field of digital identity. By leveraging the power of AI, video processing, deep hashing, behavioral biometrics, peer-to-peer federated learning, and cryptography, it provides a secure, decentralized solution that respects user privacy and offers robust protection against identity fraud.
9. Future Work
While Earth ID is a powerful tool, there is always room for improvement. Future work will focus on enhancing the liveness detection mechanism, optimizing the system for real-time processing, and exploring ways to further enhance security and privacy. The potential of deep hashing, behavioral biometrics, and peer-to-peer federated learning in this context is vast, and future research will delve into optimizing these processes for better performance and accuracy.
10. Call to Action
Earth ID is a pioneering technology that is set to revolutionize the field of digital identity. We invite developers, researchers, and organizations to join us in exploring the potential of this technology and contributing to its development. For more information, please visit our website or contact us directly.