Virtual Ledger Malicious Code Scrubbing via AI and Redundant Channels
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Solution Overview
Problem
Existing security systems for communication networks are inadequate in effectively scrubbing malicious code between communications devices in an efficient and cost-effective manner.
Innovation Solution
A system and method employing an asset valuation device, self-executing code device, air router with redundant communication channels, and malicious code removal device, utilizing multicore processors for problem solving, smart contract processing, and cryptocurrency mining, forming an AI engine to collect and process data for efficient malicious code scrubbing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing security systems are used for scrubbing malicious code, then basic security functionality is provided, but the system lacks efficiency and cost-effectiveness
Solution Approach 1:
The system segments malicious code detection and removal into multiple specialized components: AI/ML models for pattern recognition, sandbox environments for safe execution, heuristic analysis engines, and behavioral monitoring systems. Each component handles specific aspects of code analysis, improving overall scrubbing efficiency while distributing complexity across modular units
Solution Approach 2:
The patent introduces intermediary elements such as sandbox environments that isolate malicious code execution from the main system, and AI/ML models that act as mediators between raw code analysis and detection decisions. These intermediaries enhance scrubbing capability while managing complexity through layered architecture
2Reliability
If comprehensive security scrubbing is implemented, then malicious code detection capability is improved, but computational resources and costs increase
Solution Approach 1:
The system applies partial action by using lightweight heuristic filters and signature-based detection for initial screening of code, reserving resource-intensive AI/ML analysis and sandbox execution only for suspicious cases. This layered approach maintains high security reliability while significantly reducing average computational energy consumption
Solution Approach 2:
The patent employs parameter changes by dynamically adjusting analysis depth, model complexity, and resource allocation based on threat levels, code characteristics, and system load. This allows the system to maintain reliable malicious code detection while optimizing energy consumption through adaptive parameter tuning
Data Source
AI summary
A system, method and computer program product for computer based open innovation including an asset valuation device receiving asset information regarding one or more tangible or non-tangible assets, and generating a valuation signal, based on the asset information; a self-executing code device receiving the valuation signal, and generating a self-executing code signal, based on the valuation signal; an air router device having both a low band radio channel, and an internet router channel for redundant internet communications, and a malicious code removal device for scrubbing malicious code from data received, receiving the valuation signal, and generating a node voting request signal, based on the valuation signal; and a mesh network having a plurality of node devices receiving the node voting request signal, and generating vote confirmation signals, based on the node voting request signal. The node devices are employed to perform problem solving, smart contract processing, and/or cryptocurrency mining.