Automation System Security Vulnerability Analysis
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Solution Overview
Problem
Conventional industrial control systems (ICSs) face significant security vulnerabilities due to their complex nature and lack of effective cybersecurity measures, making it difficult for automation engineers to manually verify system security, and existing security standards are time-consuming and not detailed enough to improve control logic in Structured Control Language (SCL) code.
Innovation Solution
A system comprising a security database, Internet crawler application, and security service application that systematically identifies and mitigates software vulnerabilities in automation systems by storing known vulnerabilities, crawling the internet for new ones, and applying policies to hardware/software configurations and software code to display actual vulnerabilities to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual verification of system security is performed according to existing ICS security standards, then security assessment can be completed, but the process is time consuming and takes from days to weeks from beginning to completion
Solution Approach 1:
The patent replaces manual mechanical verification processes with automated software-based security analysis. The system automatically parses project files, retrieves vulnerability information from databases, and generates security reports without requiring manual intervention, thus resolving the contradiction between thorough security assessment and time consumption.
Solution Approach 2:
The security analysis system performs self-service by automatically executing the entire security verification process. It retrieves project information, queries vulnerability databases, analyzes configurations, and generates reports autonomously, eliminating the need for manual security assessment while maintaining comprehensive coverage.
2Adaptability or versatility
If existing ICS security standards are applied, then security guidelines are provided, but the information is not detailed enough for automation engineers to improve their control logic
Solution Approach 1:
The patent segments the security analysis into multiple detailed components: hardware configuration analysis, software vulnerability checking, control logic review, and network security assessment. Each segment provides specific actionable findings that help automation engineers improve their control logic with granular detail rather than general guidelines.
Solution Approach 2:
The system introduces an automated analysis intermediary that bridges the gap between high-level security standards and detailed implementation requirements. This intermediary automatically translates general security guidelines into specific, actionable security findings tailored to the project's actual configuration and code.
3Ease of operation
If automation engineers manually verify security, then they can understand system vulnerabilities, but automation engineers typically do not have an information technology security background
Solution Approach 1:
The system performs self-service security analysis, automatically executing comprehensive vulnerability assessments without requiring user expertise. The automated engine handles database queries, configuration analysis, and vulnerability matching, making precise security verification accessible to automation engineers regardless of their IT security background.
Solution Approach 2:
The automated security analysis system acts as an intermediary that translates complex security concepts into engineer-friendly results. It handles the technical complexity of vulnerability analysis while presenting findings in an accessible manner, bridging the knowledge gap between security experts and automation engineers.
4Reliability
If IT security experts apply standard IT security methodologies, then comprehensive security analysis can be performed, but IT security experts usually cannot apply standard IT security methodologies to ICS
Solution Approach 1:
The system implements a universal security analysis platform that adapts to both ICS and IT environments. It provides a unified interface that automatically adjusts its analysis methods based on the target system type, enabling comprehensive security analysis across different domains without requiring separate specialized methodologies.
Solution Approach 2:
The system dynamically changes its analysis parameters and depth based on the project type (ICS vs IT). It automatically adjusts vulnerability database selections, configuration checklists, and analysis rigor levels to match the specific domain, making comprehensive security analysis adaptable to different system types.
Data Source
AI summary
A system for checking security vulnerabilities for automation system design includes a security database, an Internet crawler application, and security service application. The security database stores descriptions of known software vulnerabilities related to an automation system. The Internet crawler application is configured to systematically browse the Internet to find new software vulnerabilities related to the automation system and index the new software vulnerability into the security database. The security service application retrieves, from the security database, potential software vulnerabilities related to a hardware/software configuration of the automation system. The security service application also identifies policies related to the potential vulnerabilities. Each policy describes a potential vulnerability and action to be performed in response to detection of the potential vulnerabilities. The security service applies the policies to the hardware/software configuration and software code corresponding to an automation application to identify actual vulnerabilities that can be displayed to a user.