Cyber Incident Notification Device for Predictive Response Priorities
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing alert notification systems struggle to prioritize incidents based on potential future damage, making it difficult to determine appropriate responses to cyber attacks, especially when resources are limited.
Innovation Solution
An information notification method that analyzes past incident data to predict future trends and prioritize responses, including provisional and permanent measures, using machine learning and statistical models to determine the likelihood and impact of cyber attacks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If incident prioritization is based on current attack characteristics, then response speed is improved, but the ability to predict and prevent future attacks deteriorates
Solution Approach 1:
The system performs preliminary analysis by clustering past incidents and predicting future attack trends before actual attacks occur. The clustering unit groups incidents by characteristics, and the prediction unit forecasts future attack patterns based on historical data, enabling preventive measures to be taken in advance rather than reacting after attacks happen.
Solution Approach 2:
The system establishes a feedback loop where past incident data is continuously analyzed to improve future predictions. The clustering results and prediction outcomes are fed back into the system to refine the incident prioritization algorithm, creating an adaptive system that learns from historical patterns to better predict and prevent future attacks.
2Ease of operation
If all incidents are treated equally, then operational simplicity is maintained, but resource allocation efficiency deteriorates
Solution Approach 1:
The system applies different quality levels of analysis and response to different incident types. By clustering incidents into groups with similar characteristics and predicting their future trends, the system identifies which incidents require intensive resource allocation and which can be handled with standard procedures, optimizing resource distribution while maintaining operational clarity.
Solution Approach 2:
The system changes the parameter of incident prioritization from uniform treatment to differentiated treatment based on predicted trends. By introducing prediction-based prioritization parameters, the system can allocate resources more efficiently to high-risk incident types while maintaining simple operational procedures for low-risk incidents.
3Loss of time
If response priority is determined by current incident severity, then immediate response is enabled, but long-term security strategy deteriorates
Solution Approach 1:
The system performs preliminary prediction of future attack trends based on historical incident data clustering. This allows the system to prepare security responses in advance for predicted attack patterns, extending the effectiveness of security strategies beyond immediate response to include proactive prevention of future threats.
Solution Approach 2:
The system maintains continuous analysis of incident data and continuous updating of prediction models. This continuous action ensures that security strategies remain effective over the long term by constantly adapting to changing attack patterns, while still enabling timely responses to immediate incidents through the same continuous monitoring framework.
Data Source
AI summary
An information notification method includes: obtaining a plurality of incident information items on a plurality of incidents caused by cyber attacks on a monitoring target during a first period in past; determining, based on the plurality of incident information items obtained, for each type of the plurality of incidents, an incident trend of incidents of the type in the monitoring target during a second period in the future and a priority of a provisional response or a permanent response to an incident of the type; and notifying of the incident trend and the priority that are determined for each type of the plurality of incidents.