Industrial Security Zone Segmentation for Risk Data Collection

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Solution Overview

Problem

Industrial process control and automation systems face increasing cybersecurity concerns due to unaddressed security vulnerabilities, making it difficult to quickly determine potential sources of risk and disrupt operations or cause unsafe conditions.

Innovation Solution

An infrastructure monitoring tool, utilizing a risk manager system that discovers and groups devices into security zones, collects and categorizes risk data using System Center Operations Manager (SCOM) software, and calculates risk values based on stored information, providing alerts and events associated with unique identifier values.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If comprehensive security monitoring is implemented across all devices, then security coverage is improved, but system complexity increases

Engineering Contradiction:
Improvesecurity coverageVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the industrial control system into multiple security zones (OT zones, IT zones, DMZ) and monitors each zone separately through dedicated collectors. This segmentation allows comprehensive security monitoring while reducing overall system complexity by organizing monitoring functions into manageable zones with specific monitoring responsibilities.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a centralized risk manager system that acts as an intermediary between individual security monitoring components and the overall security architecture. The risk manager collects data from multiple collectors, standardizes the data formats, and provides unified risk assessment, thereby simplifying the architecture while maintaining comprehensive coverage.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If detailed risk data collection is performed, then risk assessment accuracy is improved, but data processing time increases

Engineering Contradiction:
Improverisk assessment accuracyVSAvoiddata processing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary data collection and categorization at the security zone level before final risk assessment. Collectors gather and pre-categorize data locally, and the risk manager pre-processes this data into standardized formats. This preliminary action reduces the time required for final risk assessment while maintaining detailed and accurate risk data collection.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements local data collection and processing at each security zone level, where each zone's collector handles data specific to that zone's devices and protocols. This local quality approach allows detailed data collection tailored to each zone's specific requirements while reducing the processing burden on the central risk manager, thereby decreasing overall processing time.

Inventive Principle:
Principle #3Local quality

3Quantity of substance

If multiple data types are collected from diverse devices, then information completeness is improved, but data standardization difficulty increases

Engineering Contradiction:
Improveinformation completenessVSAvoiddata standardization difficulty
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent creates a universal data collection framework where the risk manager system can collect multiple data types (configuration data, operational data, security data) from diverse devices across different security zones. The standardized data formats and unified risk assessment methodology provide multi-functionality, allowing the same system to handle various device types and data formats without increasing standardization difficulty.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent employs parameter changes in data collection by adapting collection parameters to match the specific protocols and data formats of different device types within each security zone. The system modifies collection parameters dynamically based on device type, zone location, and data requirements, enabling comprehensive data collection while maintaining standardization through consistent parameter transformation at the risk manager level.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS10021125B2Infrastructure monitoring tool for collecting industrial process control and automation system risk data
Publication Date: 2018.07.10 HONEYWELL INTERNATIONAL INC
  • US10021125B2 patent drawing
  • US10021125B2 patent drawing
  • US10021125B2 patent drawing

AI summary

This disclosure provides an infrastructure monitoring tool, and related systems and methods, for collecting industrial process control and automation system risk data, and other data. A method includes discovering multiple devices in a computing system by a risk manager system. The method includes grouping the multiple devices into multiple security zones by the risk manager system. The method includes, for each security zone, causing one or more devices in that security zone to provide information to the risk manager system identifying alerts and events associated with the one or more devices. The method includes storing the information, by the risk manager system, in association with unique identifier values, the unique identifier values identifying different types of information.