SPX Network Security Score Assessment Engine
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Solution Overview
Problem
There is a need for a method to automatically assess and improve the real-time security of Sequenced Packet Exchange (SPX) network connections by analyzing and quantifying security levels based on various inputs from network components and providing users with clear, actionable feedback.
Innovation Solution
The method involves analyzing data transmissions through SPX network nodes, identifying security implementations, assigning coefficients to these implementations, calculating a security score, and providing users with personalized suggestions for improvement, including notifications and alternative security measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual security assessment methods are used for SPX network connections, then security analysis can be performed, but the process is time-consuming and cannot provide real-time security evaluation
Solution Approach 1:
The system automatically collects security data from multiple SPX network nodes, calculates security scores, and generates recommendations without human intervention. The automated assessment engine continuously monitors network traffic and security implementations across ingress, in-transit, and egress nodes, providing real-time security evaluation that eliminates manual assessment delays
Solution Approach 2:
The system provides continuous feedback to users through security score notifications and improvement recommendations. When security scores fall below thresholds, the system automatically sends notifications with actionable recommendations, enabling users to improve their security posture based on real-time feedback from the assessment engine
2Measurement precision
If comprehensive security analysis of multiple network nodes is performed, then security score accuracy is improved, but system complexity increases
Solution Approach 1:
The system divides the SPX network into three distinct segments: ingress nodes, in-transit nodes, and egress nodes. Each segment is assessed independently with node-type specific security criteria, allowing comprehensive security analysis while managing complexity through structured segmentation. The assessment engine processes each node type separately and aggregates results into an overall security score
Solution Approach 2:
The system changes assessment parameters based on node type, applying different security criteria and weighting coefficients to ingress, in-transit, and egress nodes. This parameter adaptation allows precise security measurement for each node type while maintaining a unified assessment framework that manages overall system complexity
3Measurement precision
If security assessment results are provided in detailed technical format, then accuracy is maintained, but user understanding becomes difficult
Solution Approach 1:
The system uses color-coded visual indicators to represent security score levels and risk categories, making technical security assessments instantly comprehensible to users. Security scores and risk levels are displayed with color coding that intuitively communicates security status without requiring users to interpret complex technical data
Solution Approach 2:
The system introduces an intermediary layer that translates detailed technical security assessments into user-friendly recommendations. The assessment engine generates both detailed technical analysis and simplified actionable recommendations, serving as a mediator between accurate security measurement and user comprehension
4Reliability
If real-time security monitoring is implemented across all SPX nodes, then security awareness is improved, but data processing requirements increase
Solution Approach 1:
The system extracts only the critical security-relevant data from network traffic at each node, rather than processing all data. The assessment engine identifies and extracts key security parameters from ingress, in-transit, and egress nodes, reducing data processing requirements while maintaining effective security monitoring through focused data extraction
Data Source
AI summary
A method of assessing the security of a user's connection to a Sequenced Packet Exchange (SPX) network and the user's consumption of services via the SPX network. The invention includes digitally accessing a plurality of network nodes and obtaining data transmissions through said plurality of network nodes. Each transmission corresponds to a security implementation of a current state of the user's connection or consumption of SPX services. A coefficient is determined for each security implementation, wherein the coefficient corresponds to a weight given to each security implementation in determining a level of security of the user's connection or consumption. A security score representative of the level of security of the user's connection is calculated as a function of the security implementation and their corresponding coefficients. The security score is output to the user.