Graph-Based Cognitive Trait Analysis for Device Security
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Solution Overview
Problem
Traditional security measures for electronic devices, such as passwords and biometrics, can be compromised, leading to potential security breaches.
Innovation Solution
A method that analyzes communications made by a user to generate a graph representing their cognitive traits, comparing these traits to authorized identities, and deploys security measures if the discrepancy exceeds a threshold, using a system comprising modules for communication processing, graph construction, analysis, and security deployment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional security measures (passwords and biometrics) are used, then device access control is implemented, but these measures can be compromised leading to security breaches
Solution Approach 1:
The patent implements dynamic security by continuously analyzing cognitive traits through graph-based communication analysis rather than relying on static passwords or biometrics. The system adapts security measures based on real-time cognitive trait discrepancies, making the security mechanism dynamic and难以 to compromise
Solution Approach 2:
The patent introduces cognitive trait analysis as an intermediary layer between user authentication and device access. Instead of directly verifying passwords or biometrics, the system uses graph-based analysis of communications as a mediator to assess cognitive traits, adding an intermediate security verification step
2Reliability
If cognitive trait analysis through graph-based communication analysis is implemented, then security against spoofing is improved, but system complexity and computational requirements increase
Solution Approach 1:
The patent segments the security verification process into distinct modules: communication data collection, graph construction, cognitive trait extraction, discrepancy calculation, and security measure deployment. This segmentation makes the complex system more manageable and implementable
Solution Approach 2:
The patent replaces traditional mechanical security verification (password entry, fingerprint scanning) with a computational graph-based analysis system. The mechanical authentication processes are substituted with automated communication analysis and cognitive trait verification through algorithmic processing
3Reliability
If continuous monitoring of user interactions is performed, then unauthorized access detection is improved, but processing time and energy consumption increase
Solution Approach 1:
The patent performs preliminary actions by continuously collecting and analyzing communication data in the background to establish baseline cognitive traits before authentication events occur. This preliminary analysis enables faster real-time verification without adding significant processing delays during critical authentication moments
Solution Approach 2:
The patent implements continuous monitoring and analysis of communications to maintain up-to-date cognitive trait profiles. This continuous useful action ensures that security verification remains accurate and current without requiring periodic re-authentication or interrupting user workflows
Data Source
AI summary
Embodiments are directed to a computer system for securing an electronic device. The system includes at least one processor configured to receive at least one communication from an entity seeking to access the device. The at least one processor is further configured to generate a graph of the at least one communication from the entity seeking access to the device. The at least one processor is further configured to determine a difference between a cognitive trait of the entity seeking access to the device, and a cognitive identity of an entity authorized to access the device. The at least one processor is further configured to, based at least in part on a determination that the difference is greater than a threshold, deploy a security measure of the device.