Transaction Privacy Shield for Personalized Service
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Solution Overview
Problem
Current systems for managing transaction data lack effective privacy protection mechanisms, failing to adequately safeguard user privacy while providing personalized services and targeted advertisements, leading to potential misuse of sensitive information.
Innovation Solution
A system that integrates a transaction handler with an input engine and a broker engine to securely process and unify transaction data, incorporates user privacy preferences, and provides a privacy shield by anonymizing user interactions with merchants, ensuring data usage adheres to personalized tags and privacy policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If transaction data is collected and stored for personalized services and targeted advertisements, then service personalization and advertising effectiveness are improved, but user privacy protection deteriorates
Solution Approach 1:
The patent introduces a privacy policy management system as an intermediary between data collection processes and user privacy protection. This system stores and enforces privacy policies that control how transaction data is used, acting as a mediator that allows personalized services to be provided while maintaining user privacy boundaries through policy-based access control
Solution Approach 2:
The patent segments the transaction data processing system into multiple components: data collection modules, privacy policy storage modules, and policy enforcement modules. This segmentation allows different parts of the system to handle different aspects of data processing, enabling personalized services while isolating privacy-sensitive operations through dedicated policy management components
2Measurement precision
If detailed transaction data is mined and analyzed for advertising goals, then targeted offer accuracy is improved, but data security and privacy control worsen
Solution Approach 1:
The patent implements preliminary action by storing privacy policies before data mining and analysis operations occur. These pre-stored policies establish security constraints and usage rules in advance, ensuring that even when detailed transaction data is analyzed for accurate targeted offers, the analysis operates within pre-defined privacy boundaries that maintain data security
Solution Approach 2:
The patent establishes a feedback mechanism where privacy policy enforcement results are fed back into the data processing system. This feedback loop ensures that when transaction data is mined for advertising purposes, the system continuously monitors and enforces privacy constraints, adjusting data access and usage based on policy compliance feedback to maintain both accuracy and security
3Ease of operation
If user interaction data is tracked for service customization, then service quality is improved, but privacy policy compliance becomes more difficult to maintain
Solution Approach 1:
The patent creates a universal privacy policy management system that serves multiple functions: storing privacy policies, enforcing compliance rules, and providing policy-based access control across different data processing operations. This multi-functional system simplifies privacy compliance by providing a single, unified mechanism that handles all privacy-related requirements regardless of the specific service or data type involved
Data Source
AI summary
A computing apparatus includes: a data warehouse storing first data representing a personal privacy policy of a user; a portal coupled between merchant systems and points of interaction of users; and a transaction handler coupled between acquirer processors and issuer processors. The portal and the transaction handler are configured to shield user data, such as address, account information, etc., from the merchant systems in accordance with the personal privacy policy of the user.