Power Network Active Defense for Unknown Threat Early Warning
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Solution Overview
Problem
Existing power information networks lack initiative and autonomy in their security defenses, relying heavily on passive measures like firewalls and manual operations, and fail to provide comprehensive threat detection and adaptive responses.
Innovation Solution
An active defense system comprising an intelligent threat early-warning module, unknown threat detection module, and self-adaption defense processing module, which performs real-time threat prediction, detection, and adaptive defense strategies using intelligent threat early-warning, unknown threat detection, and self-adaptive processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional passive defense technologies (firewall, antivirus software) are used, then basic security protection is provided, but the system lacks initiative and adaptability in responding to unknown threats
Solution Approach 1:
The system performs preliminary actions by collecting power grid situation data, performing threat prediction analysis, and generating early warning information before actual attacks occur. This allows the system to proactively identify potential threats and prepare defense strategies in advance, rather than merely reacting to attacks after they happen.
Solution Approach 2:
The system implements feedback mechanisms where threat detection results and defense effectiveness are continuously monitored and fed back into the threat prediction and early warning modules. This closed-loop feedback enables the system to learn from actual threats and improve its predictive capabilities, enhancing adaptability to unknown threats over time.
2Measurement precision
If boundary defense focused approaches are used, then specific attack points are protected, but comprehensive threat detection and perception sensitivity to overall network security situation are insufficient
Solution Approach 1:
The threat prediction and early warning module serves multiple functions: it analyzes power grid situation data, predicts potential threats, generates early warning information, and provides comprehensive network security assessment. This multi-functional approach enables the system to maintain precise threat detection across the entire network without requiring separate specialized systems for each function.
Solution Approach 2:
The system merges threat prediction, early warning, and detection functions into an integrated defense framework. By combining these previously separate functions into a unified system that processes power grid situation data comprehensively, the patent achieves precise threat detection while managing complexity through functional integration rather than proliferation of separate components.
3Extent of automation
If manual operation by engineers is relied upon, then flexible decision making is possible, but the system lacks autonomy and responsiveness to changing threats
Solution Approach 1:
The system performs self-service by automatically collecting power grid situation data, conducting threat prediction analysis, generating early warnings, and executing defense strategies without requiring continuous manual intervention. The autonomous threat prediction module continuously monitors the network environment and responds to threats automatically, reducing both response time and dependency on manual operations.
Solution Approach 2:
The system performs preliminary threat prediction and generates early warning information automatically before attacks materialize, enabling proactive defense without manual intervention. This preliminary automated action reduces response time by identifying and preparing responses to threats before they fully manifest, eliminating the delay associated with manual detection and decision-making.
Data Source
AI summary
Provided are an active defense system and method for an unknown threat. The system includes an intelligent threat early-warning module (10), an unknown threat detection module (20) and a self-adaption defense processing module (30). The intelligent threat early-warning module (10) is configured to perform threat prediction on a power grid situation data set collected from a power information network in real time to obtain threat early-warning information and send the information to the unknown threat detection module (20). The unknown threat detection module (20) is configured to perform threat detection and analysis on collected unknown threat network data when receiving the threat early-warning information to generate a threat analysis report and send the report to the self-adaption defense processing module (30). The self-adaption defense processing module (30) is configured to trigger a defense processing operation corresponding to a preset threat defense strategy according to the threat analysis report.