AI DNA Editing for Dynamic Network Identity Obfuscation
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Solution Overview
Problem
Existing technologies face challenges in minimizing human involvement in routine data processing tasks and enhancing computational intelligence through effective manipulation of network identity parameters (IDPs) to thwart cyber attacks and maintain network security.
Innovation Solution
Implementing a system that dynamically modifies network identity parameters (IDPs) using ontogenetic artificial intelligence DNA structures, which are manipulated based on trigger events and pseudorandom functions to create varying false IDPs, altering communication patterns and network addresses, and employing a mission plan to control these modifications across modules within a network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dynamic manipulation of IDPs is implemented to thwart cyber attacks, then network security is improved, but device complexity increases
Solution Approach 1:
The system segments the IDP manipulation function into separate modules: an ontogenesis engine that generates AI DNA structures, a DNA editing engine that modifies these structures, and various manipulation modules that apply the edits to actual network IDPs. This segmentation allows each component to be independently developed, tested, and maintained, reducing overall system complexity while enhancing security capabilities.
Solution Approach 2:
The patent introduces AI DNA structures as an intermediary representation between the ontogenesis engine and the actual IDP manipulation operations. Instead of directly implementing complex security protocols, the system uses this intermediate AI DNA layer to encode security strategies, making the system more adaptable and easier to manage while improving network security against cyber attacks.
2Productivity
If human involvement is minimized in data processing tasks, then productivity is improved, but measurement precision deteriorates
Solution Approach 1:
The system implements self-service through the ontogenesis engine that automatically generates AI DNA structures based on network conditions and attack patterns. The DNA editing engine automatically modifies these structures without human intervention, enabling the system to adapt to changing security threats autonomously while maintaining high data processing efficiency and accuracy.
Solution Approach 2:
The system incorporates feedback mechanisms where the ontogenesis engine continuously monitors network traffic and attack patterns, automatically adjusting AI DNA structures in response to detected threats. This feedback loop enables the system to maintain measurement precision while operating with minimal human involvement, as the system learns from actual network conditions and adapts its security responses accordingly.
Data Source
AI summary
Systems and methods for controlling operations of an electronic device. The methods comprising: obtaining, by a processor, a first AI DNA structure and a second AI DNA structure (each of the first and second AI DNA structures comprising at least one branch defined by data objects connected to each other by one or more links, at least one of said data objects in said branch specifying one or more actions of the electronic device that were determined by an ontogenesis engine in view of a stimuli or an impingement action); analyzing, by the processor, human or other AI system, the first AI DNA structure and second AI DNA structure to detect differences therebetween; selectively editing, by the processor, the first AI DNA structure based on the differences; and using the first AI DNA structure, which has been selectively edited, to control, modify or advance AI operations of the ontogenesis engine.