Context-Aware Mobile Authentication Sensor Polling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current mobile device authentication methods are discrete and power-intensive, lacking continuous authentication techniques that balance security, power usage, and convenience effectively.
Innovation Solution
A mobile device system that employs low-power and high-power sensors in conjunction with a processor to dynamically adjust polling rates based on environmental changes, using contextual data for passive authentication without explicit user input, optimizing security, power, and convenience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If high-power sensors are continuously engaged for authentication, then security is improved, but power consumption increases
Solution Approach 1:
The system dynamically adjusts the polling rate of sensors based on environmental changes and authentication needs. Low-power sensors operate continuously at a base polling rate, while high-power sensors are engaged only when environmental changes indicate potential authentication events, creating a dynamic power-security balance
Solution Approach 2:
The system uses periodic polling of low-power sensors to monitor environmental changes, and only periodically engages high-power sensors when triggered by significant environmental changes. This periodic engagement of high-power sensors reduces overall power consumption while maintaining security
2Use of energy by moving object
If discrete authentication methods are used, then power consumption is reduced, but continuous authentication capability is lost
Solution Approach 1:
The system performs self-service authentication by automatically detecting environmental changes and triggering authentication protocols without explicit user requests. Low-power sensors continuously monitor the environment and autonomously decide when to engage high-power sensors for authentication, enabling continuous authentication with minimal user intervention
Solution Approach 2:
The system uses feedback from low-power sensors monitoring environmental changes to dynamically control the engagement of high-power sensors. When environmental changes exceed thresholds, the system feedback-triggers authentication sequences, creating a closed-loop continuous authentication system
3Measurement precision
If high-power sensors are frequently engaged, then authentication accuracy is improved, but convenience decreases due to power consumption
Solution Approach 1:
The system applies different quality levels of sensing to different situations: low-power sensors provide continuous baseline monitoring, while high-power sensors provide high-precision authentication data only when and where environmental changes indicate authentication events are needed, optimizing both accuracy and convenience
Data Source
AI summary
Disclosed is a mobile device to authenticate a user. The mobile device may comprise: a first sensor; a second sensor to use more power than the first sensor; and a processor coupled to the first sensor and the second sensor. The processor may be configured to: collect data from the first sensor; determine if an environmental change occurred based on the collected data from the first sensor; engage the second sensor to collect data if the environmental change occurred; and modify a polling rate for the second sensor based on the collected data from the second sensor.