Classified-Data Retrieval Processing for Real-Time Transaction Detection
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Solution Overview
Problem
Existing systems lack real-time access to classified data for identifying and preventing illicit transactions, leading to false negatives and false positives in detecting criminal and terrorist activities through value transfer platforms, due to restricted information sharing and limited personnel clearances.
Innovation Solution
A search and retrieval data processing system that integrates with entity systems to securely compare transaction data against classified databases, enabling real-time detection and termination of suspicious transactions, and notifying government agencies for further investigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If classified data is shared with entity personnel to improve detection accuracy, then detection reliability is improved, but information security and personnel clearance requirements worsen
Solution Approach 1:
The patent introduces a centralized data processing system as an intermediary between government agencies and entity personnel. This system receives classified data from government sources, processes and compares it against transaction data, and provides detection results without requiring entity personnel to directly access or handle classified information. The intermediary system thus enables reliable detection while maintaining information security and reducing personnel clearance requirements.
2Productivity
If real-time access to classified data is provided to enhance detection speed, then productivity is improved, but information security risks worsen
Solution Approach 1:
The centralized data processing system serves as a secure intermediary that provides real-time access to classified data for detection purposes while maintaining strict security controls. The system processes transaction data against classified intelligence in real-time to enable fast detection, yet prevents direct exposure of classified information to unauthorized personnel through the intermediary layer, thus reducing information security risks.
Solution Approach 2:
The system creates and uses copies of classified data for processing and comparison operations. Instead of requiring personnel to directly access original classified information, the system works with processed copies that contain only the necessary detection data, reducing the risk of exposure and misuse of classified information while maintaining real-time detection capability.
3Reliability
If more personnel are granted access to classified data to improve detection capability, then detection reliability is improved, but loss of information increases
Solution Approach 1:
The centralized data processing system acts as a mediator that enables detection capability without increasing information exposure. The system processes transaction data against classified intelligence internally and shares only necessary detection results with entity personnel, rather than granting broad access to classified data. This approach maintains detection reliability while minimizing information loss and exposure risks.
Solution Approach 2:
The system extracts and processes only the necessary information from classified data for detection purposes, rather than sharing the complete classified intelligence with entity personnel. By taking out only the essential detection data and processing it through the centralized system, the patent enables improved detection capability while minimizing the amount of classified information that could be exposed or lost.
Data Source
AI summary
A search and retrieval data processing system for retrieving classified data for execution against a cyber-security logic rules includes one or more hardware processors and memory, networked to communicably couple through a secure connection to a classified data database, the classified data database including an aggregated plurality of classified data records captured from a plurality of classified data sources; and the memory in communication with the processor, the memory storing an execution environment and the execution environment including an input port for receiving, from an entity, data associated with requested operations; a search engine for searching the classified data records of the classified database; and a logic execution module. The logic execution module is operable for executing a set of cyber-security logic rules against the received data and classified data records; and based on a positive comparison between the received data to the classified data records, writing to memory one or more instructions for initiation of one or more termination actions of the one or more requested operations.