Passive Continuous Session Authentication via Biometric Video Analysis
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Solution Overview
Problem
Traditional security systems authenticate users only once and require re-authentication if the session is inactive, leading to intrusive active continuous authentication systems or resource-intensive passive systems that are costly and slow.
Innovation Solution
A passive continuous session authentication system that generates biometric and behavioral attribute data structures from video and sensor data to continuously re-authenticate users without requiring constant user interaction, using video monitoring and sensor data to synchronize temporal information and maintain seamless session security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional security systems authenticate users only once and require re-authentication only when session is inactive, then system resource consumption is reduced and user interaction is minimized, but session security is compromised and authentication reliability deteriorates
Solution Approach 1:
The system performs continuous authentication automatically in the background without requiring user initiation or interaction. The biometric and behavioral analysis occurs passively as the user normally uses the device, eliminating the need for users to manually trigger re-authentication while maintaining continuous security verification
Solution Approach 2:
Instead of continuous heavy processing, the system periodically samples biometric data from video feeds and sensor data, performing authentication checks at intervals rather than continuously. This periodic approach maintains security while significantly reducing computational resource consumption compared to constant monitoring
2Reliability
If active continuous authentication systems are implemented to continuously verify user identity, then session security is improved, but user interaction requirements increase and system complexity worsens
Solution Approach 1:
The authentication system operates autonomously in the background, automatically capturing biometric data from the device's camera and sensors, processing it through AI models, and verifying user identity without requiring any user action. The system serves itself by managing the entire authentication lifecycle passively
Solution Approach 2:
Instead of requiring users to actively prove their identity through deliberate actions (as in traditional authentication), the system inverts the approach by having users simply behave naturally while the system passively observes and analyzes their biometric and behavioral patterns to continuously verify identity
3Reliability
If passive continuous authentication using video and sensor data is implemented, then authentication reliability is improved and user interaction is minimized, but data processing requirements and computational resources increase
Solution Approach 1:
The system extracts only the essential biometric features and behavioral attributes from video and sensor data that are necessary for authentication, rather than processing all raw data. This extraction approach maintains high authentication reliability while significantly reducing the computational burden by focusing only on relevant authentication-critical features
Solution Approach 2:
The authentication system is divided into separate modular components: video processing module, sensor data processing module, biometric analysis module, and behavioral analysis module. Each module handles specific data types and processing tasks independently, which reduces overall system complexity by allowing specialized optimization of each segment and enabling parallel processing
4Reliability
If frequent re-authentication is required to maintain session security, then authentication reliability is improved, but user convenience deteriorates and time consumption increases
Solution Approach 1:
The system performs continuous authentication in the background without interrupting the user's workflow or requiring them to stop their current activity. The biometric and behavioral analysis occurs continuously as the user naturally uses the device, eliminating the time loss associated with stopping work to perform re-authentication tasks
Data Source
AI summary
Systems, apparatuses, methods, and computer program products are disclosed for providing passive continuous session authentication. An example method includes authenticating a session for a user of a client device. The example method further includes generating a video data structure comprising a video stream, deriving a set of biometric attributes of the user from the video stream, synchronizing temporal information with the set of biometric attributes derived from the video stream, generating an aggregated behavioral attribute data structure comprised of the video data structure and the set of biometric attributes derived from the video stream synchronized to the temporal information, and re-authenticating, by the session authentication circuitry at a second time after the first time, the session for the user of the client device based on the aggregated behavioral attribute data structure.