Event Log Parser Extensions for Diverse Data Formats
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Solution Overview
Problem
Existing data analytics platforms struggle to analyze event logs from diverse devices due to format inconsistencies, leading to incomplete data capture and potential missed security breaches or inefficiencies in resource usage.
Innovation Solution
The introduction of event log parser extensions that augment existing parsers by converting unrecognized portions of event logs into a standardized format, enabling comprehensive data analysis and improved security monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a parser is used to convert event logs to standardized format, then data analysis capability is improved, but data capture completeness deteriorates because the parser cannot capture all data from diverse event log formats
Solution Approach 1:
The parsing function is segmented into a base parser that handles standardized formats and multiple parser extensions that handle specific diverse formats. Each extension is a separate module that can be independently loaded and executed, allowing the system to process various event log formats without requiring a completely different parser for each format.
Solution Approach 2:
The base parser is designed with universal functionality to handle multiple event log formats through dynamically loadable extensions. The parser can adapt to different formats by loading appropriate extensions, making a single parser system capable of processing diverse event log structures from various devices and systems.
2Loss of information
If parser extensions are added to capture more data, then data capture completeness is improved, but system complexity increases
Solution Approach 1:
The parsing system is segmented into a core base parser and separate, independent extensions. Each extension handles specific event log formats and can be loaded only when needed, rather than having all extensions loaded simultaneously. This segmentation reduces the complexity burden on any single component while maintaining comprehensive data capture capability.
Solution Approach 2:
The parser system dynamically loads and unloads extensions based on the event log format being processed. The system can adapt its complexity by loading only the necessary extensions for a given parsing task, rather than maintaining all possible extensions in memory at once, thus managing system complexity while preserving data capture completeness.
3Device complexity
If existing parsers are used without extensions, then system simplicity is maintained, but detection capability for cyber threats deteriorates due to incomplete data capture
Solution Approach 1:
The parser system provides self-service capability through automatically discoverable and loadable extensions. When an event log format is encountered that requires a specific extension, the system automatically identifies and loads the appropriate extension without manual intervention, maintaining simplicity while improving detection capability through comprehensive data capture.
Data Source
AI summary
Systems and methods include a memory and processing devices configured to perform operations. The operations include obtaining telemetry log data comprising an event log that includes one or more values; parsing, using an event log parser extension, a first portion of the one or more values to insert one or more first key-value pairs into a data object, wherein at least a portion of the one or more first key-value pairs includes a value from the first portion of the one or more values and a key assigned to the value; and performing one or more data analysis operations on the data object.