Intrusion Detection System Enrichment via Lifecycle Context
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Solution Overview
Problem
Current intrusion detection systems lack contextual knowledge of the lifecycle operations and dependencies within a secured environment, leading to high false positive and false negative alerts due to the absence of lifecycle context information.
Innovation Solution
Incorporating lifecycle-based context information into intrusion detection systems by utilizing a lifecycle operations manager to generate and provide contextual data, which includes timestamps, dependencies, and meta-information, to differentiate between legitimate and potentially malicious activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional intrusion detection systems monitor log files without lifecycle context, then the system structure remains simple, but the detection precision deteriorates due to high false positive and false negative rates
Solution Approach 1:
A lifecycle operations manager is introduced as an intermediary component that generates and provides contextual information about system operations to the intrusion detection system. This mediator enables the IDS to distinguish between legitimate lifecycle operations and malicious activities, improving detection precision without requiring fundamental changes to the IDS architecture
Solution Approach 2:
The system implements feedback mechanisms where the lifecycle operations manager continuously provides contextual information about ongoing operations to the intrusion detection system. This feedback loop enables real-time adjustment of detection sensitivity and reduces false alerts by correlating detected anomalies with known legitimate lifecycle operations
2Reliability
If lifecycle context information is incorporated into intrusion detection, then false alerts are reduced, but the device complexity increases due to additional components and data processing
Solution Approach 1:
The system architecture is segmented into distinct functional components: the lifecycle operations manager that generates contextual information, the intrusion detection system that performs analysis, and the log files that store operation data. This segmentation allows each component to specialize in specific tasks, improving overall reliability while managing complexity through modular design
Solution Approach 2:
The lifecycle operations manager serves multiple functions: it tracks system operations, generates contextual information, and provides this context to the intrusion detection system. This multi-functionality reduces the need for separate dedicated components, thereby improving alert accuracy without proportionally increasing system complexity
3Productivity
If manual analysis of log files is performed without contextual information, then the analysis process remains simple, but the productivity deteriorates due to the sheer volume of log files that cannot be effectively analyzed
Solution Approach 1:
The lifecycle operations manager performs preliminary actions by continuously tracking and recording contextual information about system operations before intrusion detection analysis occurs. This pre-processing of contextual data enables faster and more accurate analysis of log files, significantly improving productivity without losing critical contextual information
Data Source
AI summary
Techniques are described for automatically incorporating lifecycle information for a secured environment (SE) into an intrusion detection system monitoring the secured environment's operations. In one example, a secured environment including at least one component is monitored, where the secured environment is associated with a lifecycle operations manager (LOM) responsible for managing lifecycle operations associated with at least one component in the SE. One or more log files associated with operations of each of the at least one components are obtained, along with log files associated with lifecycle operations executed by the LOM. A determination is made as to whether the particular activities documented in the log files indicate a violation of at least one malicious action rule. In response to determining that the log files are associated with a malicious action rule, a mitigation action associated with the violation is triggered.