Morphing Federated Model for Resource Abuse Prevention
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Solution Overview
Problem
Current systems face challenges in accurately identifying and locating data breaches that result in misappropriated data due to the complexity of analyzing large amounts of interaction data, requiring more efficient methods to determine potentially misappropriated interactions between users and entities.
Innovation Solution
The integration of a classical computer to initially analyze interaction data and trigger further analysis by a quantum optimizer, which assigns qubits to inputs to provide a more in-depth analysis, creating a federated user model to predict misappropriated interactions and determine breach points, utilizing quantum computing for enhanced processing capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a quantum optimizer is used to analyze all interaction data, then measurement precision is improved, but productivity deteriorates due to the high computational cost and time consumption
Solution Approach 1:
The patent segments the analysis process into two distinct stages: a classical computer performs initial filtering of interaction data to identify potentially misappropriated interactions, and a quantum optimizer performs detailed analysis only on the filtered subset. This segmentation allows the system to achieve high identification accuracy through quantum computing while maintaining productivity by limiting quantum resource usage to only the most suspicious cases.
Solution Approach 2:
The patent applies partial action by using the quantum optimizer not on all interaction data but only on a selected portion identified as potentially misappropriated by the classical computer. This partial application of quantum computing resources achieves sufficient identification accuracy without the excessive computational cost of analyzing every interaction, thus resolving the contradiction between precision and productivity.
2Productivity
If a classical computer analyzes large amounts of interaction data, then productivity is maintained, but measurement precision deteriorates due to limitations in analyzing all available inputs
Solution Approach 1:
The patent introduces a hybrid system where the classical computer acts as an intermediary that performs initial data filtering and passes selected cases to the quantum optimizer. This intermediary approach allows the system to maintain productivity through efficient classical processing while achieving high measurement precision through quantum computing analysis of the most suspicious interactions, effectively combining the strengths of both computing paradigms.
Data Source
AI summary
Systems, computer products, and methods are described herein for improvements for identifying if an interaction between a user and an entity have been misappropriated. Instead of analyzing each interaction as the interactions are entered into between various users and the associated entities, a specific federated user model may be created for each user in order to predict the likelihood that interactions of the user may be misappropriated. In order to create the federated user model, a quantum optimizer may assign qubits to various inputs and analyze the inputs to create a federated user model that best predicts the user's interactions that may be misappropriated. As the inputs change, the quantum optimizer may be used to morph the federated user model in order to improve upon the ability of the specific federated user model in determining the likelihood that the user's interactions are misappropriated.