Core Logic and Algorithmic Performance Enhancements for a System Vulnerability Analysis Technique for Complex Mission Critical Systems Implementation

TL;DR

This paper enhances the SONARR system with generic logic supporting multiple data types and multi-compute capabilities, improving processing efficiency for complex network vulnerability analysis.

Contribution

It introduces a new generic logic framework and multi-compute features to SONARR, enabling better handling of diverse data types and larger workloads.

Findings

Enhanced logic allows any .NET data type in facts.

Multi-compute increases processing power for large workloads.

Performance tests show improved processing capabilities.

Abstract

Core logic and processing improvements were made to the software for operations and network attack results review (SONARR) and are presented, herein. Previous SONARR versions' Boolean-only logic, derived from the Blackboard Architecture, was replaced with generic logic that allows any .NET type (e.g., integers, decimals, strings) to be utilized within facts. This allows calculations and equality operations with all data types to drive the algorithm's processing of network models. Additionally, multi-compute capabilities were implemented to increase the processing power for larger workloads. In this paper, the new logic objects are described, examples are presented to illustrate the efficacy of creating digital-twin systems using the new generic logic, and performance test results are presented that illustrate the expanded processing capability from the multi-compute functionality.