Centralized Event Orchestration for Multicomputer Authentication
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Solution Overview
Problem
Computer systems face challenges in preventing unauthorized access to sensitive data while optimizing technical operations, particularly in multicomputer processing environments where efficient and effective data management is crucial.
Innovation Solution
A computing platform with centralized event orchestration processes event authentication requests by generating authentication datasets, calculating unauthorized access likelihood scores, and executing authentication commands to authorize or deny events based on dynamic and historical authentication data from client devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized event orchestration with multicomputer processing is implemented to prevent unauthorized access, then data security is improved, but system complexity increases
Solution Approach 1:
The authentication system is divided into multiple independent computing devices, each handling specific authentication tasks. The centralized platform segments the authentication process into distinct stages (data generation, data retrieval, score calculation, command generation) that can be processed independently by different system components, reducing overall system complexity while maintaining security.
Solution Approach 2:
The centralized event orchestration platform acts as an intermediary between client devices and the authentication database. It coordinates communication between multiple computing devices, managing the flow of authentication requests and responses, which simplifies the interaction model and reduces the complexity of direct peer-to-peer authentication protocols.
2Measurement precision
If multiple authentication datasets are processed to calculate unauthorized access likelihood scores, then authentication accuracy is improved, but processing time increases
Solution Approach 1:
The system pre-generates authentication datasets and pre-loads authentication data before actual authentication events occur. By preparing authentication data in advance and organizing it in accessible formats, the system reduces the processing time required during live authentication while maintaining the use of multiple comprehensive datasets for accurate scoring.
Solution Approach 2:
The authentication process maintains continuous data flow between computing devices, with each device processing authentication data in an ongoing manner rather than batch processing. This continuous processing allows the system to maintain high authentication accuracy through multiple datasets while minimizing idle time and reducing overall processing delays.
Data Source
AI summary
Aspects of the disclosure relate to multicomputer processing of an event authentication request with centralized event orchestration. A computing platform may receive a request to authenticate an event. Subsequently, the computing platform may generate a first authentication dataset and receive a second authentication dataset. Then, the computing platform may calculate unauthorized access likelihood scores based on the first and second authentication datasets. Thereafter, the computing platform may calculate an event security score based on the unauthorized access likelihood scores. Subsequently, the computing platform may generate first event authentication commands. Next, the computing platform may send the first event authentication commands to an unauthorized access computing device. Then, the computing platform may receive a result of an unauthorized access analysis. Subsequently, the computing platform may generate, based on the result of the unauthorized access analysis, second event authentication commands. Thereafter, the computing platform may send the second event authentication commands.