Dynamic Policy Rule Retrieval Using Blockchain and Predictive Algorithms
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Solution Overview
Problem
Current network systems for critical infrastructure face inefficiencies in updating and applying policy rules, especially during crises, as these rules are static and require manual updates, leading to inefficiencies and potential network overload during large-scale disasters.
Innovation Solution
A method and system utilizing predictive algorithms and Blockchain techniques to dynamically retrieve and apply policy rules, enabling real-time updates, secure, tamper-proof, and transparent processes by analyzing task attributes and network capabilities, and automatically re-evaluating policy rules and priorities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual updates of policy rules are used, then system integrity is maintained, but responsiveness to crises deteriorates
Solution Approach 1:
The patent transforms static manual policy rule updates into a dynamic automated system using predictive algorithms and blockchain technology. The system automatically retrieves, analyzes, and applies policy rules in real-time based on current network conditions and crisis scenarios, eliminating manual intervention while maintaining system integrity through blockchain's tamper-proof ledger.
Solution Approach 2:
The system enables self-service by automatically monitoring network conditions, predicting policy rule requirements, and applying updates without human intervention. The predictive algorithms continuously analyze network state and autonomously retrieve appropriate policy rules from the blockchain, allowing the system to serve itself during crisis situations.
2Device complexity
If static policy rules are used, then system simplicity is maintained, but adaptability to changing conditions deteriorates
Solution Approach 1:
The patent changes the parameters of policy rules dynamically by using predictive algorithms that analyze current network conditions, crisis types, and service requirements. The system retrieves and applies different policy rule sets based on varying parameters such as network load, crisis severity, and service priority, allowing adaptability while maintaining a structured approach through blockchain-stored rule templates.
3Reliability
If manual policy rule updates are used, then security control is maintained, but productivity during crises deteriorates
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors network conditions, service performance, and crisis development. This feedback drives the predictive algorithms to automatically retrieve and apply appropriate policy rules from the blockchain, creating a closed-loop system that maintains security control while rapidly adapting to improve productivity during crises.
4Loss of time
If real-time dynamic updates are implemented, then responsiveness to crises is improved, but system complexity deteriorates
Solution Approach 1:
The patent introduces blockchain as an intermediary layer that simplifies the complexity of real-time dynamic updates. The blockchain serves as a trusted, decentralized ledger that stores policy rules and their version histories, allowing the system to achieve rapid responsiveness without directly managing the complexity of rule validation, consistency, and security across multiple nodes.
Data Source
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AI summary
The invention relates to a system and a method for publishing and updating policy rules in a network. In particular, a system and method for publishing and updating policy rules based on predictive algorithms and blockchain techniques for network systems, especially for next generation emergency systems, is described.