Centralized Event Control for Secure Multicomputer User Data
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Solution Overview
Problem
Ensuring the safety and security of sensitive information while optimizing the efficient and effective technical operations of computer systems is challenging, particularly in multicomputer environments.
Innovation Solution
A multicomputer data processing technology with centralized event control that receives vehicle operational data from telematics devices, identifies satisfaction of criteria, and generates commands to change user data, transmitting these commands to subunit provisioning servers for insurance policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized event control is implemented to enhance information security, then security is improved, but system complexity increases
Solution Approach 1:
The system segments user data into multiple independent data subunits distributed across different computing devices. Each subunit can be independently managed, accessed, and protected, reducing the security risk concentration and simplifying the overall security management architecture while maintaining strong security through distributed control.
Solution Approach 2:
An event control computing platform acts as an intermediary between telematics devices and provisioning servers. This mediator coordinates events, manages data subunit access, and orchestrates changes across the distributed system, simplifying security management by centralizing control logic while maintaining distributed data storage.
2Productivity
If multicomputer processing is used to optimize technical operations, then processing efficiency is improved, but data security challenges increase
Solution Approach 1:
User data is divided into multiple data subunits stored across different computing devices in the multicomputer system. This segmentation enables parallel processing of different data portions by different computers, improving overall processing efficiency while enhancing security through distributed storage that eliminates single points of failure.
Solution Approach 2:
Different data subunits are stored and processed at different locations (computing devices) with location-specific access controls and security policies. Each computing device manages its local data subunits with appropriate security measures, allowing efficient local processing while maintaining overall data security through coordinated access management.
Data Source
AI summary
Aspects of the disclosure relate to multicomputer processing of vehicle operational data from telematics devices and other sources with centralized event control. An event control computing platform may receive vehicle operational data from a telematics device associated with a user. Subsequently, the event control computing platform may identify, based on the received data, whether at least one criterion associated with the user has been satisfied. If the received data indicates that the at least one criterion associated with the user has been satisfied, then the event control computing platform may generate a command configured to cause a change to a subunit of user data and then may transmit the generated command to a subunit provisioning server.