Mobile Device Sensor Verification for Transaction Security
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electronic transaction verification mechanisms for mobile devices do not adequately consider the state of the device, such as position, movement, and exposure to light, leading to insufficient detection and prevention of unauthorized access.
Innovation Solution
A system and method that utilizes sensors on mobile devices to gather data on their state, which is used to establish models correlating expected device states with specific transactions, allowing for real-time verification of authorized access by comparing actual sensor data against established profiles, alerting users and merchants of potential unauthorized activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing electronic transaction verification mechanisms are used, then transactions can be processed, but they fail to detect unauthorized access because they do not consider device state
Solution Approach 1:
The system performs preliminary actions by collecting sensor data and establishing usage profiles before transactions occur. Device state information (location, motion, light exposure) is gathered in advance and stored as baseline profiles, enabling verification without adding complexity during actual transaction processing
Solution Approach 2:
Sensor data serves as an intermediary element between the user and the transaction verification system. Instead of directly verifying user identity, the system uses sensor-collected device state information as an indirect indicator of authorized usage, simplifying the verification process while improving reliability
2Measurement precision
If sensor data collection is implemented to verify transactions, then unauthorized access detection improves, but system complexity increases
Solution Approach 1:
The system achieves multi-functionality by using existing mobile device sensors for multiple purposes: standard transaction verification, device state monitoring, and unauthorized access detection. This approach improves measurement precision without significantly increasing complexity, as the same sensors serve multiple functions
Solution Approach 2:
The system changes parameters by transitioning from binary verification (authorized/unauthorized) to multi-dimensional verification using multiple sensor parameters (location, motion, light). This improves measurement precision by considering multiple device state parameters simultaneously rather than relying on a single verification factor
Data Source
AI summary
An attempt to conduct an electronic transaction using an electronic device is detected. The electronic device contains one or more sensors, such as an accelerometer, an ambient light sensor, a gyroscope, a GPS unit, or a transceiver. In response to the detected attempt to conduct the electronic transaction, an analysis is performed using data gathered by the one or more sensors to estimate one or more current statuses of the electronic device. The estimated one or more current statuses of the electronic device are compared with one or more expected statuses of the electronic device according to a model. An alert is generated in response to the comparison indicating that some of the estimated current statuses of the electronic device are inconsistent with the expected statuses of the electronic device.