Intrusion Detection System Limited Operation Mode
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Solution Overview
Problem
Threat intelligence systems face challenges in maintaining continuous availability due to connection malfunctions, which disrupt the classification of suspicious activities and prediction models for malicious attacks.
Innovation Solution
The method involves switching to a limited operation mode upon detecting connection malfunctions, modifying validation conditions, rerunning classification algorithms, and updating prediction models, and synchronizing data upon recovery to ensure continuous operation and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the intrusion detection system operates in normal mode requiring continuous data from multiple sources, then the model accuracy is improved, but the system availability deteriorates during connection failures
Solution Approach 1:
The system dynamically switches between normal operation mode and limited operation mode based on connection status. In normal mode, it uses data from multiple intrusion detection systems with strict validation conditions. In limited mode, it adapts by using modified validation conditions that work with reduced data availability, thereby maintaining system availability while preserving reasonable model accuracy
Solution Approach 2:
The validation conditions are modified based on the operation mode. In limited operation mode, the system changes the parameters of validation conditions to accommodate reduced data input, allowing the system to continue generating prediction models with acceptable accuracy even when connection data is unavailable
2Reliability
If the system uses data from multiple intrusion detection systems, then the prediction model reliability is improved, but the system complexity increases
Solution Approach 1:
The system segments its operation into distinct modes (normal and limited) with clearly defined data processing paths. This segmentation simplifies the overall system logic by providing structured handling for different connection scenarios, reducing the complexity of managing multiple data sources while maintaining model reliability
3Reliability
If the system continues operation during connection failures, then the system availability is improved, but the data completeness deteriorates
Solution Approach 1:
The system prepares modified validation conditions in advance for limited operation mode. When connection failures occur, these pre-prepared conditions enable the system to immediately continue operation with available data, minimizing information loss while maintaining availability without requiring complex real-time adaptations
Data Source
AI summary
A method for classification of suspicious activities is provided. In the method, a first intrusion detection system comprising a normal operation mode and which is connected to a second intrusion detection system by a first communications connection is implemented. In response to detecting a malfunction of the first communications connection, the first intrusion detection system is switched from the normal operation mode to a limited operation mode for receiving first data from one or more honeypot systems and second data from the second intrusion detection system. A prediction model for representing malicious attacks is generated by execution of a predefined classification algorithm with respect to the received data, wherein the predefined classification algorithm further determine a model evaluation metric with respect to the prediction model. The prediction model is deployed to detect the malicious attacks if the model evaluation metric meets a predefined validation condition.