US Patent Application 17726657. GENERATING AND PROCESSING PERSONAL INFORMATION CHAINS USING MACHINE LEARNING TECHNIQUES simplified abstract
GENERATING AND PROCESSING PERSONAL INFORMATION CHAINS USING MACHINE LEARNING TECHNIQUES
Organization Name
Inventor(s)
Bijan Kumar Mohanty of Austin TX (US)
David J. Linsey of Marietta GA (US)
Hung T. Dinh of Austin TX (US)
GENERATING AND PROCESSING PERSONAL INFORMATION CHAINS USING MACHINE LEARNING TECHNIQUES - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 17726657 Titled 'GENERATING AND PROCESSING PERSONAL INFORMATION CHAINS USING MACHINE LEARNING TECHNIQUES'
Simplified Explanation
This abstract describes a method, apparatus, and storage media for generating and processing personal information chains using machine learning techniques. The method involves processing data from various sources related to events involving an individual. This processed data is then used to generate a personal information chain for the individual, which is linked based on temporal parameters using cryptographic functions. Anomaly detection is performed on the personal information chain using machine learning techniques. Based on the results of the anomaly detection, automated actions are taken using the personal information chain and anomaly detection results.
Original Abstract Submitted
Methods, apparatus, and processor-readable storage media for generating and processing personal information chains using machine learning techniques are provided herein. An example computer-implemented method includes processing data, from one or more data sources, pertaining to one or more events involving an individual; generating a personal information chain associated with the individual by processing at least a portion of the processed data using at least one cryptographic function and linking that at least a portion of the processed data in accordance with at least one temporal parameter; performing anomaly detection by processing at least a portion of the personal information chain associated with the individual using one or more machine learning techniques; and performing one or more automated actions based at least in part on one or more of the personal information chain and results from the anomaly detection.
