Security Event Group Summaries for Faster Threat Filtering
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Solution Overview
Problem
Existing security information and event management (SIEM) systems face challenges in efficiently identifying and filtering large volumes of security-related events, particularly those related to potential threats, due to the complexity of distributed computing systems, leading to difficulties in distinguishing relevant from irrelevant events.
Innovation Solution
A system that processes and indexes time-stamped events based on security-related information, groups events meeting specific criteria, and provides a graphical interface with interactive elements for selective filtering and summarization of security events, enabling efficient identification and management of potential threats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a SIEM system collects and stores large volumes of security events from distributed computing systems, then the system provides comprehensive security monitoring coverage, but the complexity of sorting through and identifying significant events increases significantly
Solution Approach 1:
The patent segments the large volume of security events into groups based on common characteristics such as source IP addresses, event types, or time periods. By dividing the overwhelming data stream into manageable segments, analysts can focus on specific groups rather than sorting through all events individually, thus reducing the complexity of event identification while maintaining comprehensive monitoring coverage
Solution Approach 2:
The patent introduces an intermediary summarization layer that automatically generates condensed representations of event groups. These summaries act as intermediaries between the raw event data and the analyst, providing key information about each group without requiring direct examination of individual events, thereby reducing the complexity of sorting and identification tasks
2Measurement precision
If a user manually sorts through large amounts of security event data to identify significant events, then thorough analysis is possible, but the time required to identify potential security threats increases
Solution Approach 1:
The patent performs preliminary actions by automatically grouping events and generating summaries before the analyst needs to review them. This pre-processing work includes organizing events by relevant criteria and creating condensed representations that highlight key information, so when the analyst reviews the data, the thorough analysis can proceed more quickly without sacrificing accuracy
Solution Approach 2:
The patent implements feedback mechanisms where the system learns from analyst interactions with event summaries. When analysts mark certain events as significant or adjust grouping parameters, the system uses this feedback to refine future event grouping and summarization, improving the accuracy of threat identification over time while reducing the time required for manual sorting
3Loss of information
If the system provides detailed information about each security event, then complete visibility into security activities is achieved, but the difficulty of distinguishing relevant from irrelevant events increases
Solution Approach 1:
The patent extracts and highlights only the most relevant information from each security event while maintaining access to complete details. The summarization process pulls out key characteristics such as event type, source, destination, and anomaly indicators, presenting them in a condensed format that makes it easier to distinguish relevant events, while the full event details remain available for thorough analysis when needed
Data Source
AI summary
A disclosed computer-implemented method includes receiving and indexing the raw data. Indexing includes dividing the raw data into time stamped searchable events that include information relating to computer or network security. Store the indexed data in an indexed data store and extract values from a field in the indexed data using a schema. Search the extracted field values for the security information. Determine a group of security events using the security information. Each security event includes a field value specified by a criteria. Present a graphical interface (GI) including a summary of the group of security events, other summaries of security events, and a remove element (associated with the summary). Receive input corresponding to an interaction of the remove element. Interacting with the remove element causes the summary to be removed from the GI. Update the GI to remove the summary from the GI.


