Consent Receipt Management System for Validating User Interactions
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Solution Overview
Problem
Current systems lack effective methods to manage personal data in compliance with privacy and security policies, particularly in addressing frequent breaches and ensuring valid consent for data processing, which is crucial for legal and industry requirements.
Innovation Solution
A computer-implemented data processing method that includes monitoring user interactions for consent, generating a consent receipt, determining a consent validity score, and storing relevant identifiers and scores, along with a consent receipt management system to track and manage personal data processing activities, ensuring compliance with legal and industry standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional data processing systems are used without enhanced consent monitoring, then system complexity remains low, but data security and compliance reliability deteriorate due to frequent breaches and inability to verify valid consent
Solution Approach 1:
The patent introduces a third-party consent receipt management system as an intermediary between data subjects and data processors. This mediator generates consent receipts, monitors user interactions, and provides verification mechanisms, thereby enhancing data security and compliance reliability without requiring complete system redesign in organizing institutions.
Solution Approach 2:
The system implements continuous feedback mechanisms by monitoring user interactions in real-time, tracking consent validity scores, and providing alerts when consent conditions are not met. This feedback loop ensures ongoing compliance and security verification, maintaining high reliability through active monitoring rather than passive record-keeping.
2Measurement precision
If comprehensive user interaction monitoring is implemented to verify consent validity, then consent verification reliability improves, but processing time and operational complexity increase
Solution Approach 1:
The system performs preliminary actions by pre-defining consent conditions, pre-monitoring user interactions, and pre-calculating consent validity scores before data processing operations commence. This allows for rapid verification during actual processing, reducing time loss while maintaining high measurement precision in consent validation.
Solution Approach 2:
The consent receipt management system creates digital copies of consent interactions and monitors these copies rather than interfering with the original data processing operations. This copying approach enables comprehensive verification without significantly impacting processing speed, as the monitoring operates on replicated interaction data.
3Measurement precision
If detailed user input monitoring and analysis are performed to detect abnormal behavior, then consent validity detection precision improves, but device complexity and computational requirements worsen
Solution Approach 1:
The system applies local quality by focusing monitoring and analysis resources on specific critical user inputs and interactions that are most indicative of consent validity. Rather than uniformly analyzing all user actions with equal complexity, the system identifies and intensively monitors key decision points and consent-related interactions, achieving high detection precision with reduced overall system complexity.
4Loss of information
If consent receipts and validity scores are electronically stored and associated with multiple identifiers, then data traceability and compliance management improve, but information storage requirements and system complexity increase
Solution Approach 1:
The consent receipt structure is designed with universal, multi-functional fields that serve multiple purposes simultaneously. Each consent receipt contains standardized identifier fields, validity score fields, and timestamp fields that can be used for traceability, verification, reporting, and compliance auditing across different operations and jurisdictions, maximizing information utility while minimizing storage requirements through efficient multi-use data structures.
Data Source
AI summary
A consent receipt management system may include one or more consent validity scoring systems. In various embodiments, a consent validity scoring system may be configured to detect a likelihood that a user is correctly consenting via a web form. The system may be configured to determine such a likelihood based at least in part on one or more data subject behaviors while the data subject is completing the web form in order to provide consent. In various embodiments, the system is configured to monitor the data subject behavior based on, for example: mouse speed; mouse hovering; mouse position; keyboard inputs; an amount of time spent completing the web form; etc. The system may be further configured to calculate a consent validity score for each generated consent receipt based at least in part on an analysis of the data subject's behavior.