Communication Control With Grid-Point State Prediction
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Solution Overview
Problem
Conventional communication control systems experience a time lag in recognizing state transitions of protection targets, leading to inappropriate rule applications during state switching, which can misclassify communications as attacks or normal traffic.
Innovation Solution
A communication control system that predicts state transitions using grid point data and state distributions, generating a state switching instruction at the predicted time to align the recognized state with the actual state, reducing the time difference between state switching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional state recognition methods are used, then the system structure is simple, but there is a time lag in recognizing state transitions
Solution Approach 1:
The system performs preliminary actions by collecting communication data and generating grid point data in advance before state transitions occur. The grid point data is pre-processed and stored, allowing the state recognition system to quickly match current communication patterns against pre-established grids without performing complex analysis in real-time, thus reducing detection time lag.
Solution Approach 2:
The patent introduces grid point data as an intermediary between raw communication data and state recognition. The grid point data serves as a mediator that simplifies the relationship between complex communication patterns and state transitions, enabling faster recognition by comparing current data against pre-computed grid representations rather than analyzing raw data directly.
2Measurement precision
If multiple processes are executed to recognize state switches, then the recognition accuracy is improved, but the time difference between actual state switching and recognized switching increases
Solution Approach 1:
The patent segments the state recognition process into distinct components: grid point data generation from historical data, current communication data collection, and state determination through comparison. This segmentation allows each component to be optimized independently and executed in parallel, maintaining accuracy while reducing the total time required for state switching recognition.
Solution Approach 2:
The system creates a copy of historical communication data in the form of grid point data, which is then used for comparison with current data. This copying approach allows the system to maintain high recognition accuracy by using pre-computed reference data while significantly reducing the time needed for real-time state determination, as the comparison is performed against simplified grid representations rather than raw historical data.
3Reliability
If state switching is delayed for proper rule application, then the rule application accuracy is improved, but the system responsiveness to actual state changes deteriorates
Solution Approach 1:
The system performs preliminary generation of grid point data from historical communication patterns, which enables rapid state determination when actual state changes occur. This pre-processing allows the system to maintain high responsiveness by comparing current communication data against pre-computed grids, ensuring that rule applications are both reliable and timely without requiring delays for proper analysis.
Data Source
AI summary
A communication control system includes: a state switching support apparatus including a processor; and a communication control apparatus to control communication to a protection target according to its state. The processor executes generating grid point data in which a grid point group representing exhaustive communications to the target is associated with states corresponding to grid points of the grid point group using previously collected data related to the communication; generating, by using the grid point data and data related to current communication, generating a state distribution representing a distribution of the states in a vicinity of a point represented by the data related to current communication in the grid point group; predicting a time when the state transitions to another state from a change in the state distribution from past to present; and transmitting an instruction to switch the state to the communication control apparatus at the predicted time.