Neural Mesh Data Protection Grid for Secure Transmission
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Solution Overview
Problem
Existing network protocols such as TCP and UDP are vulnerable to hacking, necessitating a more secure method for transmitting large, confidential data files across communication networks.
Innovation Solution
A neural mesh data protection system utilizing a virtual matrix of containerized security zones, where each zone performs security checks and dynamically determines trust levels based on historical data, type, and volume of data, to dynamically route data through a secure transmission path.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional protocols (TCP/UDP) are used for data transmission, then ease of operation is maintained, but security reliability deteriorates due to vulnerability to hacking
Solution Approach 1:
The patent segments the data transmission path into multiple discrete security zones arranged in a mesh topology. Each zone acts as an independent security checkpoint that evaluates and processes data packets individually. This segmentation allows the system to implement comprehensive security checks without requiring complete system-wide complexity, as each zone operates semi-independently with defined entry and exit points.
Solution Approach 2:
The patent introduces intermediary security zones as mediators between the data source and destination. These zones act as neutral evaluators that assess data packets against security criteria before allowing transmission. The intermediary zones buffer and filter traffic, preventing direct exposure between communicating parties and blocking potential security threats without disrupting the overall communication flow.
2Reliability
If dynamic trust level evaluation is implemented, then security reliability improves through adaptive protection, but use of energy increases due to continuous monitoring and evaluation processes
Solution Approach 1:
The patent implements preliminary trust level evaluations during the initial setup phase, where security zones are pre-assessed and categorized based on their security capabilities and historical performance. This preliminary action allows the system to establish baseline trust levels without continuous real-time computation, reducing ongoing energy consumption while maintaining adaptive security through periodic re-evaluations triggered by specific events rather than constant monitoring.
3Reliability
If multiple security zones are deployed in a mesh topology, then security reliability improves through multiple evaluation points, but device complexity increases due to the virtual matrix structure
Solution Approach 1:
The patent designs each security zone in the mesh topology to be a universal, multi-functional unit that can handle various data types, implement multiple security protocols, and adapt to different threat scenarios. This standardization of zone functionality reduces the complexity of managing diverse security components, as the same zone architecture can be deployed repeatedly throughout the mesh network with consistent behavior and management procedures.
4Adaptability or versatility
If dynamic path determination is implemented, then adaptability improves through responsive routing, but loss of time increases due to real-time decision making processes
Solution Approach 1:
The patent implements dynamic path determination where security zones continuously evaluate current security conditions, threat levels, and data characteristics to adjust transmission routes in real-time. The mesh topology enables flexible path changes without requiring complete reconfiguration, as multiple alternative routes are inherently available. This dynamic adaptation allows the system to respond to emerging threats while maintaining efficient data flow through automated routing decisions.
Data Source
AI summary
A neural mesh data protection grid disposed amidst a tunnel acting as a transmission path for transmitting large files (i.e., file transfer). The grid includes a virtual matrix of containerized security zones. Each security zone is configured to act as prospective point in the transmission path for the data file or a segment of the data file. Further, each containerized security zone includes logic that is configured to perform one or more security checks on the data. The neural aspect of the data protection grid means that the logic is further configured to determine, over time, a trust level for the containerized security zone based on the trust/confidence that the zone has attained.