Intrusion Detection GUI Alert Snooze and Severity Segmentation
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Solution Overview
Problem
Managing large enterprise networks is costly and inefficient due to the need for manual, ad-hoc decision-making on network topology and security, with existing systems lacking effective tools for early detection and mitigation of security violations.
Innovation Solution
A graphical user interface for an intrusion detection system that includes features for summarizing anomalies, allowing users to snooze alerts, and displaying event details, along with a method for providing operators with lists of events and enabling them to clear alerts, facilitating better network management and security monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If intrusion detection systems generate detailed alerts for all detected anomalies, then detection precision is improved, but operator workload and false assertion impact increase
Solution Approach 1:
The system segments alerts by severity level (critical, high, medium, low) and groups related anomalies into unified event summaries. This segmentation allows operators to focus on critical issues while filtering out less significant false assertions, reducing workload without sacrificing detection precision for important events.
Solution Approach 2:
The system incorporates feedback mechanisms where operators can mark alerts as false positives, and this feedback is used to refine future detection algorithms. The interface allows operators to provide feedback on alert accuracy, which feeds back into the intrusion detection system to reduce false assertions over time while maintaining high detection precision for real threats.
2Measurement precision
If the system provides detailed anomaly information for each event, then measurement precision is improved, but the time required for operator analysis increases
Solution Approach 1:
The system performs preliminary action by automatically correlating and grouping related anomalies into unified event summaries before presenting them to operators. Detailed anomaly information is pre-organized and contextualized, allowing operators to quickly understand the full picture without manually analyzing each individual anomaly, thus reducing analysis time while maintaining precision.
Solution Approach 2:
The interface presents anomaly data across multiple dimensions including severity levels, event types, source/destination hosts, and temporal patterns. This dimensional organization allows operators to quickly filter and prioritize information based on multiple criteria simultaneously, reducing the time needed to analyze detailed anomaly information while maintaining comprehensive understanding.
3Speed
If the system alerts on all detected security violations immediately, then response time to attacks is improved, but the number of false assertions increases
Solution Approach 1:
The system applies asymmetric alerting where critical and high severity events trigger immediate alerts, while medium and low severity events undergo additional verification or are grouped into summaries. This asymmetric approach ensures fast response to genuine threats while filtering out false assertions from less severe but potentially spurious anomalies.
Solution Approach 2:
The alerting system is dynamic, adjusting its sensitivity and verification requirements based on contextual factors such as time of day, network conditions, and historical data. The system can temporarily increase alerting sensitivity during critical periods while reducing it during low-risk periods, balancing response speed with false assertion reduction adaptively.
Data Source
AI summary
A graphical user interface for an intrusion detection system is described. The graphical user interface includes a field that depicts a summary of anomalies identified as part of a event that is detected in a network, the summary indicating event severity details of the event and an alert action region including a control to permit a user to snooze future alerts related to the event in the summary for a period of time.