Satellite Relay Fraud Detection via Coverage Area Overlap
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current fraud detection methods are ineffective in satellite-based communication systems, as they lack geolocation information, which is essential for accurately identifying fraudulent transactions, especially in global satellite networks where only a small percentage of communication satellites provide GPS information.
Innovation Solution
A system and method that utilize satellite geolocation data to determine network coverage areas for transactions, flagging potentially fraudulent transactions by analyzing the overlap of these areas and the elapsed time and distance between them, considering various methods of travel, and accessing map databases to assess the feasibility of a person's movement between locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If satellite-based communication systems are used for global transactions, then coverage area is improved, but fraud detection capability deteriorates due to lack of geolocation information
Solution Approach 1:
The patent introduces satellite coverage area information as an intermediary element to bridge the gap between satellite-based transactions and fraud detection. Instead of relying on direct geolocation from the satellite, the system uses the known coverage areas of satellites as mediators to infer transaction locations and detect fraudulent patterns.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring transaction patterns across different satellite coverage areas. It analyzes the temporal and spatial relationships between transactions, using feedback from coverage area data to improve fraud detection algorithms and identify suspicious patterns that deviate from normal behavior.
2Device complexity
If geolocation information is not provided by satellites, then system simplicity is improved, but measurement precision of transaction location deteriorates
Solution Approach 1:
The patent transitions from two-dimensional geolocation coordinates to a different dimensional approach by using satellite coverage area zones. Instead of precise latitude/longitude points, the system operates with coverage area identifiers and temporal data, creating a new dimensional framework for location-based fraud detection that maintains simplicity while providing sufficient precision.
Solution Approach 2:
The system changes the parameters used for location identification from exact geocoordinates to coverage area identifiers combined with temporal information. This parameter transformation allows the system to maintain simplicity by working with discrete coverage zones rather than continuous coordinate systems, while still enabling effective fraud detection through pattern analysis.
3Reliability
If network coverage areas are analyzed for fraud detection, then fraud detection accuracy is improved, but data processing complexity increases
Solution Approach 1:
The patent segments the analysis by dividing transactions into groups based on their associated satellite coverage areas. Instead of processing all transactions uniformly, the system segments them by coverage zone and analyzes patterns within each segment, reducing overall complexity while improving detection accuracy through focused analysis of spatial-temporal patterns.
Solution Approach 2:
The system performs preliminary actions by pre-establishing coverage area boundaries and characteristics before fraud detection occurs. Coverage area data is pre-processed and stored, allowing the fraud detection system to quickly reference known coverage zones without performing complex calculations in real-time, thereby reducing processing complexity during actual transaction analysis.
Data Source
AI summary
An exemplary system, method, and computer-accessible medium can include receiving first information related to a first transaction associated with a financial account, determining a first network coverage area associated with the first transaction, receiving second information related to a second transaction associated with the financial account, determining a second network coverage area associated with the second transaction, flagging the second transaction as potentially fraudulent based on the first network coverage area and the second network coverage area. The financial account can be a credit card account. The second transaction can be flagged if the first network coverage area and the second network coverage area do not overlap. The first network coverage area can be based on a coverage area for a first satellite and the second network coverage area can be based on the coverage area for a second satellite, where the first satellite can be different than the second satellite.