File Access Event Handling via Probe Segmentation and Data Extraction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Multi-platform systems face challenges in real-time response to file access events, data condensation, and handling events within an extended context, due to processing overloads and redundant data recording.
Innovation Solution
Implementing a process that intercepts file access events across platforms, using probes to monitor and process information, discarding redundant data, and utilizing a database for auxiliary information to enable real-time handling and load balancing, with rules for decision-making and action execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If file access events are monitored and processed in real-time across multiple platforms, then the system can respond promptly to security events, but the processing load increases significantly
Solution Approach 1:
The system segments the event processing function by deploying separate probe processes on different platforms. Each probe independently captures and filters events locally, then forwards only relevant events to a central server. This segmentation distributes the processing load across multiple nodes while maintaining real-time response capabilities.
Solution Approach 2:
The system extracts and removes redundant data from event streams at the probe level before forwarding to the server. By taking out unnecessary information early in the pipeline, the system reduces the volume of data requiring centralized processing, thereby lowering overall processing load while preserving essential security information.
2Reliability
If all file access event data is recorded and processed, then complete security monitoring is achieved, but data redundancy increases
Solution Approach 1:
The system applies local quality filtering at each probe, where events are evaluated against platform-specific criteria and auxiliary data before being forwarded. This ensures that only events with genuine security relevance are retained and transmitted, maintaining comprehensive monitoring coverage while eliminating redundant data at its source.
Solution Approach 2:
The system performs preliminary filtering and evaluation of events at the probe level before they reach the central server. By conducting this preliminary action locally, the system pre-processes events to remove obvious redundancies and prioritize critical events, reducing the burden on centralized resources while maintaining complete monitoring capability.
3Measurement precision
If auxiliary data is integrated with event processing, then event analysis accuracy improves, but system complexity increases
Solution Approach 1:
The system introduces auxiliary data as an intermediary layer between raw events and analysis rules. This intermediary provides contextual information (such as file metadata, user profiles, and access patterns) that enriches event data without requiring fundamental changes to the event processing architecture. The auxiliary data acts as a mediator that enhances analysis precision while maintaining system modularity.
Data Source
AI summary
A method of controlling file access events in a computerized server, including receiving by a computer acting as a server and connected to a network of computer platforms, information of file access events intercepted by the computer platforms, accessing rules for processing file access events, retrieving auxiliary data disjoint of the event, and processing the event by the server based on the rule and the auxiliary data to determine an action for handling the event for the computer platform.