Mobile User Authentication via Behavior-Based Trust Scoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current access control solutions for mobile devices are inconvenient and vulnerable to cybersecurity threats, requiring multiple steps and strong cryptographic operations that cause communication latencies and are not secure.
Innovation Solution
A method of mobile-based user authentication that stores and analyzes user activity data to determine a trust score, allowing access to secured environments based on historical patterns and recent activity, with optional user intent signals for confirmation, using a mobile device to communicate with locks via wireless networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple authentication steps and strong cryptographic operations are used, then security is improved, but communication latency and user inconvenience increase
Solution Approach 1:
The system performs authentication analysis in advance by continuously monitoring user activity data and calculating trust scores before access is needed. When a user approaches the access point, the authentication is already validated or rejected, eliminating real-time cryptographic delays.
Solution Approach 2:
The patent replaces traditional cryptographic authentication mechanisms with a behavior-based trust score system. Instead of relying on computational cryptography, the system uses machine learning models that analyze user activity patterns to determine authentication, significantly reducing processing time.
2Reliability
If multiple authentication steps are required, then security is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically performs authentication by analyzing user activity data without requiring manual intervention. The mobile device continuously monitors user behavior and the system autonomously determines trust scores, eliminating the need for users to manually enter passcodes or perform authentication steps.
Solution Approach 2:
Authentication analysis is performed in advance by continuously monitoring user activity and establishing trust scores before access is needed. This preliminary authentication eliminates the need for multiple authentication steps at the moment of access, greatly improving user convenience.
3Ease of manufacture
If traditional passcode-based authentication is used, then implementation simplicity is maintained, but vulnerability to cybersecurity threats increases
Solution Approach 1:
The system changes the authentication parameter from static passcodes to dynamic trust scores based on continuous analysis of user behavior patterns. This transformation maintains implementation simplicity while dramatically improving security by making authentication resistant to traditional cyber threats like phishing and credential theft.
Solution Approach 2:
The patent replaces passcode-based authentication with a machine learning-based trust score system that analyzes user activity data. This substitution maintains ease of implementation through integrated mobile device sensors while providing superior security against cybersecurity threats.
Data Source
AI summary
A method of mobile based user authentication includes storing a plurality of categories of data associated with user activity with a mobile device carried or worn by a user. The method also includes analyzing the plurality of categories of data over a recent period of time to determine a user trust score based on a historical period of time, the historical period of time greater than the recent period of time. The method further includes granting access to an access controlled environment if the user trust score is within a predetermined score range.