Hash-Based File Reputation Containers for Industrial Control Security
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Solution Overview
Problem
In industrial control systems and industrial internet of things environments, identifying and managing the reputation of industrial computing products is difficult due to limited resources and changing security statuses, making it challenging to determine potential security threats from peripheral devices.
Innovation Solution
Implementing dynamic data containerization using hash data analytics to determine and manage file reputation by generating dynamic containers with validity periods, updating reputation data when necessary, and sharing information across secure media exchange units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional vulnerability analysis methods are used in industrial control systems, then security assessment can be performed, but resource consumption (CPU, memory, I/O) increases and analysis capability is limited
Solution Approach 1:
The patent segments the reputation data storage into distributed dynamic database containers across multiple secure media exchange units rather than using a centralized database. Each container stores reputation data for specific files or file types, allowing parallel processing and reducing the computational burden on any single system component.
Solution Approach 2:
The patent creates hash-based digital copies of files for reputation analysis instead of analyzing the actual files. By comparing file hashes against stored reputation data, the system avoids resource-intensive file scanning while maintaining accurate security assessment capability.
2Measurement precision
If reputation data is continuously updated for all industrial control files, then security accuracy is improved, but storage requirements and processing overhead increase
Solution Approach 1:
The patent implements dynamic database containers with validity time periods that automatically expire and are replaced. This dynamic approach allows the system to maintain accurate reputation data without permanently storing all historical data, reducing storage requirements while preserving accuracy within valid time windows.
Solution Approach 2:
The patent stores reputation data in a distributed manner across multiple secure media exchange units, with each unit maintaining local database containers for specific files or file types. This local quality approach reduces the storage burden on any single unit while collectively maintaining comprehensive reputation coverage.
3Use of energy by moving object
If dynamic database containers with validity periods are implemented, then resource usage is reduced, but system complexity increases
Solution Approach 1:
The patent implements periodic action through automatic expiration and replacement of database containers based on validity time periods. This automated periodic refresh mechanism reduces manual intervention and simplifies data management while maintaining resource efficiency through systematic data lifecycle management.
Solution Approach 2:
The system implements self-service through automated container expiration and replacement mechanisms. When database containers reach their validity period, they are automatically replaced with new containers, reducing manual management overhead and simplifying operations despite the dynamic nature of the system.
4Speed
If file reputation is determined through hash comparison, then analysis speed is improved, but ability to detect new or modified threats decreases
Solution Approach 1:
The patent performs preliminary hash comparison for rapid reputation determination, providing fast security assessment for known files. This preliminary action enables quick decision-making while the system maintains adaptability through additional analysis capabilities for suspicious or unknown files.
Solution Approach 2:
The system implements feedback mechanisms where reputation determination results inform subsequent analysis decisions. When hash comparison indicates potential threats or anomalies, the system can trigger additional verification steps, maintaining both speed for clear cases and adaptability for suspicious cases.
Data Source
AI summary
Various embodiments described herein relate to dynamic data containerization using hash data analytics. In this regard, an indication of a peripheral device being communicatively coupled to an industrial control system is received. In response to the indication, reputation data for one or more industrial control files stored by the peripheral device is determined based on a comparison between a file hash of one or more industrial control files and one or more security threat hashes. Furthermore, the reputation data for the one or more industrial control files is stored in a dynamic database container. In response to a determination that a validity time period for the dynamic database container satisfies a defined criterion, new reputation data for the one or more industrial control files is determined and the new reputation data for the one or more industrial control files is stored in a new dynamic database container.