Tagless Device Consortium for Cross-Platform Fraud Detection
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Solution Overview
Problem
Current methods for detecting Internet fraud are inadequate as they rely on incomplete information and cannot effectively identify fraudulent transactions across multiple websites, allowing fraudulent users to evade detection by altering or manipulating data.
Innovation Solution
A system that identifies and shares information about users and user devices across a network consortium, using device identifiers and behavioral tracking to detect and prevent fraudulent activities by associating suspicious devices with fraudulent accounts and denying access to other networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a website operator relies on information gathered during previous transactions with that particular website, then the verification process is simple and easy to operate, but the scope of fraud prevention is limited and ineffective across multiple websites
Solution Approach 1:
The patent merges fraud detection capabilities across multiple websites by creating a consortium where participant websites share fraud-related information. This combines the verification processes of individual websites into a collective system that maintains operational simplicity for each participant while dramatically expanding the scope of fraud prevention through shared intelligence.
Solution Approach 2:
The consortium system provides universal fraud prevention capabilities that serve multiple websites simultaneously. The shared fraud database and verification mechanisms function across different participant websites, allowing a single fraud detection infrastructure to protect multiple online businesses from fraudulent activities.
2Ease of manufacture
If traditional fraud detection methods are used that rely on user-provided information, then the system is easy to implement, but fraudulent users can easily evade detection by altering or manipulating data
Solution Approach 1:
The patent introduces an intermediary verification process where the consortium's shared fraud database acts as a mediator between the user-provided information and the verification decision. This intermediary layer cross-checks user data against the collective fraud intelligence from multiple websites, significantly improving detection accuracy while maintaining ease of implementation through standardized verification protocols.
3Reliability
If a centralized database of fraud information is shared across multiple networks, then the fraud detection capability is significantly improved, but the system complexity and information sharing infrastructure requirements increase
Solution Approach 1:
The patent segments the fraud detection system into independent participant websites that each maintain their own verification processes while contributing to and accessing a shared fraud database. This segmentation allows each website to operate autonomously with standard complexity while collectively achieving enhanced fraud detection through the shared information repository.
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.