17945961. SYSTEMS AND METHODS FOR DETERMINING TRUSTED DEVICES simplified abstract (Capital One Services, LLC)
Contents
- 1 SYSTEMS AND METHODS FOR DETERMINING TRUSTED DEVICES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEMS AND METHODS FOR DETERMINING TRUSTED DEVICES - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SYSTEMS AND METHODS FOR DETERMINING TRUSTED DEVICES
Organization Name
Inventor(s)
Amirfarrokh Iranitalab of Lincoln NE (US)
Sriharsha Kallu of Glen Allen VA (US)
Vitalie Manzul of McLean VA (US)
Philip Spiegel of Midlothian VA (US)
SYSTEMS AND METHODS FOR DETERMINING TRUSTED DEVICES - A simplified explanation of the abstract
This abstract first appeared for US patent application 17945961 titled 'SYSTEMS AND METHODS FOR DETERMINING TRUSTED DEVICES
Simplified Explanation
The abstract describes a system for determining trusted devices based on trust scores associated with users and user devices, with fraud prevention actions taken when trust scores exceed a threshold.
- The system receives data for multiple users and transactions requests from user devices.
- Trust scores are generated using machine learning models to determine the probability that a user device is associated with a user.
- Fraud prevention actions are taken when trust scores exceed a predetermined threshold.
Potential Applications
This technology could be applied in various industries such as banking, e-commerce, and cybersecurity to enhance security measures and prevent fraudulent activities.
Problems Solved
This technology helps in identifying trusted devices and users, reducing the risk of fraud and unauthorized access to sensitive information.
Benefits
The system provides a reliable way to authenticate users and their devices, improving overall security and trust in online transactions.
Potential Commercial Applications
Potential commercial applications include secure online banking systems, e-commerce platforms, and identity verification services.
Possible Prior Art
One possible prior art could be traditional methods of user authentication such as passwords, PINs, and security questions, which may not be as reliable as the system described in the patent application.
Unanswered Questions
How does the system handle false positives in trust scores?
The system may need to have mechanisms in place to address false positives in trust scores, such as additional verification steps or manual review processes.
What measures are taken to protect user data and privacy in the system?
It is important to understand the data protection and privacy policies implemented in the system to ensure compliance with regulations and safeguard user information.
Original Abstract Submitted
Disclosed embodiments may include a system for determining trusted devices. The system may receive data corresponding to a plurality of users. The system may receive, via a plurality of user devices associated with the plurality of users, a respective request to conduct a plurality of transactions. The system may generate, via an MLM and based on the data, trust scores associated with the plurality of users and the plurality of user devices, wherein each trust score indicates a probability that a user device, of the plurality of user devices, is associated with a user of the plurality of users. The system may determine whether each trust score of a plurality of trust scores exceeds a predetermined threshold. Responsive to determining a trust score of the plurality of trust scores exceeds the predetermined threshold, the system may conduct fraud prevention action(s) with respect to a corresponding user device and user.
