Quantum Knowledge Graph for Container Security Policy Automation
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Solution Overview
Problem
Container-based computing infrastructures face challenges in monitoring interactions and deploying security policy rules effectively, leading to potential security threats from malicious actors due to unrestricted communications among containers.
Innovation Solution
A computing platform that trains a quantum knowledge graph based on container interactions, generates and deploys security rules using NFTs and smart contracts, and monitors interactions to identify anomalies and potential security risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If container-based infrastructure allows unrestricted communications among containers, then deployment flexibility and scalability are improved, but security vulnerability and risk of malicious intrusions worsen
Solution Approach 1:
The patent introduces a quantum knowledge graph as an intermediary system that mediates between container deployment flexibility and security requirements. The knowledge graph processes container interaction data, identifies security threats, and enables intelligent security policy enforcement without restricting legitimate communications, thus resolving the contradiction between adaptability and security vulnerability.
2Measurement precision
If security policy rules are manually enforced, then control precision is improved, but operational complexity and deployment time worsen
Solution Approach 1:
The patent implements self-service through automated security policy generation and deployment. The quantum knowledge graph automatically analyzes container interactions, generates appropriate security policies, and enforces them without manual intervention. This automation maintains control precision while significantly reducing operational complexity and deployment time.
Solution Approach 2:
The system performs preliminary actions by pre-processing container interaction data into the quantum knowledge graph structure, which enables rapid security policy generation and deployment when threats are detected, avoiding the need for manual analysis and response at the time of incident.
3Reliability
If real-time monitoring of container interactions is implemented, then security threat detection is improved, but computational resource consumption worsens
Solution Approach 1:
The patent utilizes quantum computing parameters and algorithms to enhance security threat detection efficiency. The quantum knowledge graph processes container interaction data using quantum algorithms that can analyze complex patterns and relationships more efficiently than classical computing methods, improving detection reliability while managing computational resource consumption through quantum advantage.
Data Source
AI summary
Aspects of the disclosure relate to monitoring and deploying security policy rules in in a container-based computing infrastructure. A computing platform may train a quantum knowledge graph based on interactions in a container-based computing infrastructure. The computing platform may generate and deploy, to the container-based computing infrastructure, one or more security rules associated with interactions in the container-based computing infrastructure based on the quantum knowledge graph les. Subsequently, the computing platform may monitor interactions between containers in the container-based computing infrastructure and identify, using the quantum knowledge graph, an anomaly in a first interaction between a first container and a second container. Based on identifying the anomaly, the computing platform may thereafter perform a verification analysis of the first interaction to determine a potential security risk and send, to an administrator computing platform, an alert action configured to be displayed on an interface of the administrator computing platform.