Behavior-Based Access Control for Mobile Devices
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Solution Overview
Problem
Current security measures for computing devices primarily focus on user identity for access control, failing to incentivize desired behavioral changes, such as reducing unhealthy habits or promoting healthy ones, as they do not leverage behavioral data to grant or deny access to device resources.
Innovation Solution
A computerized system and method using sensor-based hardware to assess user behavior and selectively grant or deny access to computing device resources based on predetermined behavior goals, employing a token-based system to incentivize desired behaviors by limiting access to apps and resources until behavioral objectives are met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional password-based access control is used, then user identity verification is achieved, but behavioral change incentives are not provided
Solution Approach 1:
The access control system is extended to perform multiple functions: traditional identity verification via passwords and biometrics, plus behavioral monitoring via sensors, and behavioral incentivization through token-based rewards. This multi-functional approach resolves the contradiction by maintaining security reliability while adding behavioral incentive capability.
Solution Approach 2:
The patent combines traditional access control mechanisms (passwords, biometric sensors) with behavioral monitoring sensors (accelerometers, gyroscopes, microphones) and token-based incentive systems into a unified access control framework. This merging allows the system to simultaneously verify identity and enforce behavioral goals, resolving the contradiction between security and behavioral incentivization.
2Ease of operation
If access is freely provided to computing device resources, then user convenience is maintained, but behavioral goal adherence is not enforced
Solution Approach 1:
The access control system transitions from static password-based access to dynamic behavior-based access control. Access permissions are dynamically adjusted based on real-time sensor data and behavioral goal compliance, allowing the system to maintain convenience for compliant users while enforcing behavioral goals through automated access restrictions.
Solution Approach 2:
The system implements continuous feedback loops where sensor data is monitored, compared against behavioral goals, and used to dynamically adjust access permissions. Tokens are awarded or revoked based on behavioral compliance feedback, creating a self-regulating system that maintains convenience while enforcing behavioral goals.
3Reliability
If sensor-based behavioral monitoring is implemented, then behavioral data is captured for access control, but system complexity increases
Solution Approach 1:
The system uses the computing device's existing sensors (accelerometers, gyroscopes, microphones, cameras) that are already present for other functions. By repurposing these existing components for behavioral monitoring, the system achieves accurate behavioral assessment without significantly increasing hardware complexity or requiring additional specialized sensors.
Solution Approach 2:
Existing device sensors are made multi-functional, serving both their original purposes (e.g., accelerometer for screen orientation) and behavioral monitoring functions (detecting exercise movements, typing patterns, or signs of substance use). This universal usage minimizes additional hardware complexity while achieving reliable behavioral data collection.
Data Source
AI summary
A computerized system and method providing a user interface for management of access to software applications and/or other computing device resources to achieve desired behavioral changes by using sensor-based hardware to assess behavioral aspects and selectively grant or deny desired access based on sensor-gathered data in comparison to predetermined behavior goals. In part, the present invention captures an opportunity to use access to desired mobile computing device apps (or other computing resources) as a low-cost, non-monetary incentive for beneficial behavior modification purposes, such as smoking cessation, etc.