US20240403460
2024-12-05
Physics
G06F21/6209
The invention introduces a system for verifying the authenticity of digital files by analyzing metadata and other file characteristics. It is designed to be adaptive, either by user customization or through intelligent adaptation based on the files it processes. This system can be integrated into existing applications, enhancing their ability to authenticate digital content seamlessly.
With the rise of sophisticated technology accessible to consumers, creating fake images and audio has become easier, raising concerns over authenticity. The system addresses these challenges by offering methods to detect and prevent fake content while providing a reliable indication of authenticity for users.
The system involves a non-transitory storage device and a processing device that analyzes submitted files. It checks metadata to verify file authenticity, using machine learning models when necessary. The system can identify patterns and make determinations about the authenticity of image or video files, offering users a quick visual verification.
The system can be embedded within various user applications, especially those managing resources or financial transactions. It employs machine learning to detect suspicious patterns in transaction data, enhancing security and trust in digital interactions.