Hardware-Monitored User Authentication for Real-Time Anomaly Detection
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Solution Overview
Problem
Current software-based user authentication methods are vulnerable to security breaches and unauthorized activity, necessitating a more robust and secure method to detect anomalous or unauthorized activity.
Innovation Solution
A computing platform that monitors user interaction data from hardware devices, establishes a continuously-updated baseline, and compares subsequent data to identify deviations, triggering security notifications for potential unauthorized activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If software-based authentication methods are used, then ease of operation is improved, but security reliability deteriorates
Solution Approach 1:
The patent introduces hardware devices as intermediaries between the user and the authentication system. These hardware devices capture physical interaction data (keystroke dynamics, pressure, cursor movement) that serves as a mediator to verify user identity and detect anomalies, thereby enhancing security reliability while maintaining software-based authentication ease of operation
Solution Approach 2:
The patent replaces traditional mechanical/software-based authentication (passwords, tokens) with a biometric-based physical interaction analysis system. By substituting the authentication mechanism with hardware-captured physical behavior patterns, the system improves security reliability without significantly impacting ease of operation
2Measurement precision
If continuous monitoring is implemented, then security detection capability is improved, but use of energy increases
Solution Approach 1:
The patent implements continuous monitoring but processes data selectively - establishing baselines during normal operation and performing detailed anomaly analysis only when deviations are detected. This partial processing approach maintains high security detection capability while reducing overall energy consumption compared to full continuous analysis
Solution Approach 2:
The system uses existing hardware device sensors and processors to capture and initially process interaction data, reducing the energy burden on the central authentication system. The hardware devices perform preliminary data collection and transmission, allowing the monitoring system to operate with lower overall energy consumption
Data Source
AI summary
Arrangements for secure user authentication through hardware analysis and monitoring are provided. In some aspects, a computing platform may receive, from one or more hardware devices, user interaction data. The computing platform may establish a baseline indicating an expected usage pattern of the user. The computing platform may receive, from the one or more hardware devices, subsequent user interaction data and determine whether the subsequent data is unauthorized. Based on the subsequent data not being unauthorized, the computing platform may calculate an updated baseline in real-time as the subsequent data is received. The computing platform may monitor for additional user interaction data from the one or more hardware devices and compare the additional user interaction data with the updated baseline. In response to the additional user interaction data deviating from the updated baseline by a predetermined threshold, the computing platform may identify an anomaly and transmit a security notification.