Handwriting-Based Authentication Using Device Metadata

The patent replaces the SMS-based authentication mechanism with a biometric-based authentication mechanism using handwriting analysis. Instead of relying on SMS messages that can be intercepted through SIM swapping, the system uses unique handwriting characteristics captured through device sensors, substituting a vulnerable communication-based system with a biometric-based system that is inherently more secure against such attacks.

The patent introduces device metadata and handwriting analysis as an intermediary layer between the user and the authentication system. Rather than directly relying on SMS messages, the system uses handwriting characteristics captured through device sensors as an intermediate verification method that cannot be compromised by SIM swapping attacks, adding a layer of security that bridges traditional authentication with biometric verification.

The patent implements self-service authentication by using the user's own handwriting characteristics as the authentication credential. The system automatically captures device metadata and handwriting inputs during normal user interaction, eliminating the need for separate authentication actions. This self-service approach reduces the burden on both users and system resources, as authentication is seamlessly integrated into the user experience without requiring additional computing resources for incident management.

The patent performs preliminary authentication verification by analyzing handwriting characteristics before granting access. By capturing and verifying device metadata and handwriting inputs during the initial interaction, the system prevents unauthorized access before it can consume computing resources for incident management. This preliminary action ensures that only authenticated users can access the system, avoiding the need for resource-intensive security incidents.

The patent implements a universal authentication mechanism that works across multiple devices by using handwriting characteristics rather than device-specific identifiers. The system captures device metadata including orientation, touch pressure, and typing speed, which are inherent to the user's interaction style rather than the specific device. This allows the authentication system to adapt to different devices while maintaining precise user identity verification, as the handwriting characteristics remain consistent across various devices.

The patent changes the authentication parameters from device-specific characteristics to user-specific interaction characteristics. By focusing on parameters such as touch pressure, typing speed, and device orientation that reflect user behavior rather than device properties, the system achieves both precise user identity verification and adaptability to different devices. The authentication parameters are transformed from static device identifiers to dynamic user interaction metrics that remain consistent across device changes.