Signal Emitter Sequencing for Transaction Authentication
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current risk analytics systems face challenges in verifying the authenticity of transactions, particularly in identifying and sequencing signal emitters, which can indicate fraudulent activities, due to the complexity of modern mobile devices' interactions with various wireless signals and the need for non-invasive, efficient transaction monitoring.
Innovation Solution
A method that determines a match score between signal information from a current transaction and an established route by comparing signal signatures from a user's device, using a threshold to authenticate the user, and transmitting alerts if the match score is below the threshold, thereby ensuring transaction propriety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If signal information from current and established routes is compared to authenticate user identity, then transaction security is improved, but system complexity increases due to signal processing and matching requirements
Solution Approach 1:
The patent extracts only the necessary signal emitter information (signal signatures) from the complex mobile device signal environment, comparing only these extracted features between current and established routes rather than analyzing all signal data, thus improving security while limiting complexity growth
Solution Approach 2:
The system creates a simplified copy or representation of the route authentication process by using signal emitter sequences as proxies for actual physical route verification, allowing authentication without directly monitoring all transaction workflow details
2Measurement precision
If ambient signal information is collected and analyzed for fraud detection, then fraud detection capability is improved, but data processing requirements and costs increase
Solution Approach 1:
The patent extracts only the essential signal emitter identification data from ambient signals, focusing on signal signatures that uniquely identify emitters rather than processing complete signal waveforms or all available signal characteristics, thereby improving detection precision while reducing data volume
Solution Approach 2:
The system performs partial analysis by comparing only the sequence and presence of signal emitters rather than conducting exhaustive analysis of all signal parameters, providing sufficient fraud detection capability without the computational burden of complete signal characterization
3Measurement precision
If signal emitter sequencing is used to verify user identity, then authentication accuracy is improved, but transaction processing time increases due to comparison operations
Solution Approach 1:
The patent performs preliminary actions by establishing baseline signal emitter sequences from previous transactions during non-critical periods, so that during actual transactions only comparison operations are needed rather than full analysis, improving authentication accuracy while minimizing processing time impact
Solution Approach 2:
The authentication process is segmented into distinct phases: signal collection, signal signature extraction, sequence comparison, and authentication decision. This segmentation allows the computationally intensive comparison operations to be isolated and optimized, reducing their impact on overall transaction processing time
Data Source
AI summary
A method includes determining a match score indicative of similarities between (1) signal information associated with a current route being traveled by a user in connection with a transaction with a merchant and (2) signal information associated with an established route traveled by the user in connection with a previous transaction between the user and the merchant, wherein the signal information comprises signal signatures that identify one or more signal emitters identified along each route. The method also includes determining whether the current route matches the established route based on whether the match score is above a threshold. The method further includes if the match score is below the threshold, transmitting a message indicating that the user was not authenticated.