Global Device Identification for Cross-Network Fraud Detection
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Solution Overview
Problem
Existing fraud detection systems in online transactions are inadequate as they rely on alterable and manipulable user information, failing to identify and prevent fraudulent activities across multiple websites.
Innovation Solution
A system that identifies and shares device identifiers and user information across a consortium of networks, using device identifiers and global identifiers to track user behavior and detect fraudulent activities, with mechanisms to generate and verify device reputation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user information (username, address, phone number, e-mail) is collected for fraud detection, then verification capability is improved, but reliability deteriorates because such information can be altered, manipulated, or falsified
Solution Approach 1:
The patent introduces a consortium of computer networks as an intermediary that collects, verifies, and shares device identification information across multiple websites. This mediator aggregates data from multiple sources to create a more reliable identification system that transcends the limitations of individual website verification attempts.
Solution Approach 2:
The system creates a universal identification mechanism that works across multiple websites and networks. By establishing a common framework for device identification that can be applied universally across different online platforms, the system overcomes the limitation of website-specific verification that fraudsters can easily bypass.
2Ease of operation
If a website relies solely on information gathered during previous transactions with that particular website, then ease of operation is improved, but reliability deteriorates because the scope of fraud prevention is limited
Solution Approach 1:
The patent merges the verification capabilities of multiple websites into a unified consortium system. By combining the identification data and fraud detection efforts of multiple networks, the system creates a more comprehensive fraud prevention mechanism while maintaining operational simplicity through standardized interfaces.
Solution Approach 2:
The system establishes continuous information sharing and verification across the consortium network, rather than relying on isolated transaction-specific checks. This ongoing collaboration allows fraud patterns to be detected across multiple platforms, extending the effectiveness of fraud prevention beyond single-website limitations.
3Reliability
If device identifiers and user information are shared across a consortium of networks, then reliability of fraud detection is improved, but device complexity increases due to information sharing infrastructure
Solution Approach 1:
The patent segments the fraud detection system into independent but interconnected consortium members, each maintaining their own verification capabilities while sharing information through standardized protocols. This modular approach distributes the system complexity across multiple independent entities rather than requiring a single centralized complex infrastructure.
Data Source
AI summary
The invention provides one or more consortia of networks that identify and share information about users and/or user devices interacting with the consortia. User devices may be identified, at least in part, by a delta of time parameter between a user device used and a reference time. Other parameters may be analyzed to identify a computer user and/or device and noteworthy transactions. The invention may be used for identity-based applications such as network security, the detection of fraudulent transactions, identity theft, ratings-based communities and law enforcement. User may be permitted to register user devices in order to control access for performing transactions.