Real-Time Duplicate Data Alert Encryption
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Solution Overview
Problem
In computer systems interconnected over large networks, duplicate data records often lead to storage inefficiencies and processing errors, especially with the increasing use of mobile devices where unsophisticated users may inadvertently or intentionally create duplicate data, straining data processing equipment and storage resources.
Innovation Solution
A system and method for identifying duplicate data records and providing real-time secure alerts, utilizing a remote source computing device, a private secured network, and an alert computing system that encrypts and decrypts data using asymmetric key pairs to detect and notify affected entities of potential improper data usage, with features for filtering and assessing risk scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data records are stored and processed in interconnected computer systems across multiple locations, then data processing capability and storage capacity are improved, but the occurrence of duplicate data records increases leading to storage inefficiency and processing errors
Solution Approach 1:
The system performs preliminary duplicate detection by comparing incoming data records against previously stored records before final processing and storage. The alert system proactively identifies potential duplicates and notifies relevant entities before the duplicate data causes processing errors or storage inefficiency, preventing the problem rather than reacting to it afterward.
2Reliability
If duplicate data detection and alerting systems are implemented, then data quality and reliability are improved, but system complexity and computational overhead increase
Solution Approach 1:
The duplicate detection system is segmented into independent modular components: data reception modules, comparison modules, alert generation modules, and notification modules. Each component performs a specific function and can be independently configured and maintained. This modular architecture reduces system complexity by allowing selective deployment of detection capabilities based on specific data types and risk profiles.
Solution Approach 2:
The alert system acts as an intermediary layer between data sources and data processing systems. Rather than requiring direct integration between all systems, the alert computing system receives data records, performs duplicate detection, and sends alerts to relevant entities. This intermediary approach simplifies the overall system architecture by centralizing the complex duplicate detection logic in a dedicated system.
3Measurement precision
If real-time duplicate detection is performed across all data records, then duplicate identification accuracy is improved, but processing speed and system performance deteriorate
Solution Approach 1:
The system applies partial duplicate detection by focusing computational resources on identifying and alerting about duplicate records, while allowing non-duplicate records to pass through with minimal processing overhead. The alert system generates notifications only when duplicates are detected, rather than requiring verification of every single record, thus maintaining high processing speed for the majority of records while ensuring accurate duplicate identification.
Data Source
AI summary
A method and system for providing real-time encrypted data alerts over secure networks. The method and system detect the improper duplicate data records and generate alerts that indicate the improper duplication. The systems encrypt the data alerts and transmit them to remote devices over private, secure networks to protect sensitive data contained in the alerts.