Network Security Defense Using Heterogeneous Redundancy Feedback
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Solution Overview
Problem
Existing network security defense methods rely heavily on software and hardware designs that introduce new side effects or dark functions, making it impossible to completely eliminate endogenous security problems, which are inherent contradictions within cyberspace.
Innovation Solution
Implement a network security defense system with an endogenous security mechanism using a dynamic heterogeneous redundancy mechanism, involving multiple meta channels with independent functions, memory elimination strategies, and feedback control to adjust processing strategies based on decoding results, forming a closed loop to correct errors and invalidations without external software or hardware intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional software and hardware designs are used to defend against security threats, then security defense capability is improved, but new side effects or dark functions are introduced which create endogenous security problems
Solution Approach 1:
The system segments security defense into multiple independent meta-channels, each processing data through separate encoding and decoding paths. This segmentation prevents a single point of failure and isolates potential endogenous security problems to specific channels, allowing the system to maintain overall security while individual channels can be analyzed and corrected without compromising the entire system.
Solution Approach 2:
The patent implements feedback control by comparing original data with decoded data from multiple meta-channels. When discrepancies are detected, the system generates feedback signals to identify and correct errors, including those caused by endogenous security problems. This closed-loop feedback mechanism continuously monitors and adjusts the system to maintain security without introducing new vulnerabilities.
2Reliability
If multiple processing strategies are applied to eliminate generalized disturbance, then tolerance to disturbances is improved, but system complexity increases
Solution Approach 1:
The patent employs universal encoding and decoding strategies that function across multiple meta-channels simultaneously. These strategies are designed to handle various types of generalized disturbances (random and non-random) through a unified approach, reducing the need for separate complex processing mechanisms for each disturbance type while maintaining high tolerance across all channels.
Solution Approach 2:
The system adjusts processing parameters dynamically based on detected disturbance types and severity. By changing parameters such as encoding schemes, decoding thresholds, and channel selection criteria, the system optimizes disturbance tolerance without permanently increasing structural complexity. This adaptive parameter adjustment allows the same hardware/software architecture to handle diverse disturbances efficiently.
Data Source
AI summary
Provided are network security defense method and network security defense system. The method includes: processing data multiple times using a preset processing strategy, where the processing strategy includes a first strategy and a second strategy, the first strategy is used for eliminating an influence of generalized disturbance on the second strategy, the second strategy after being eliminated the influence is applied to the data for calculation, storage and communication of the data, the first strategy includes an encoding strategy, a decoding strategy and a memory elimination strategy, and the generalized disturbance includes random disturbance and/or non-random disturbance; triggering a feedback control strategy based on a decoding result of the multiple processing results; and adjusting the first strategy according to the feedback control strategy.


